ADA Public Wiki - User contributions [en-gb]

Setting Access Conditions

2026-02-18T00:27:51Z

TGregor: /* Business rules */

= Levels of Access Management =
As the Data-rights holder you can decide how the access to your data is managed. There are three basic types of access management:
* '''Open Access''' (the data can simply be downloaded from your Dataverse site)
* '''ADA Managed''' (we grant or decline access based on rules set by you)
* '''ADA Facilitated''' (we forward data requests to you and you let us know which to grant and which to decline)

= Guestbook =
Any data that is not ''Open Access'' needs to be requested. To request data, a user has to create an account on [https://dataverse.ada.edu.au/ ADA Dataverse], select the required files and click the request button. This will open a form, we call a ''Guestbook''. The Standard Guestbook contains the following questions:

'''- Name '''
'''- Email '''
'''- Institution or Organisation '''
'''- Position '''

'''- What is your primary intended use of this data? '''
'''- If other uses, please indicate what other intended use you have for this data? '''
'''- Please provide a short abstract summarising the intended use of the data '''
'''- Please indicate the name and contact email of your supervisor (where applicable) '''
'''- Are there any sources of funding supporting this research? '''
'''- What are the intended publications and outputs that may feature this data? '''

The data-rights holder can change and add guestbook questions. Based on the guestbook, the data-rights holder and the ADA agree on a set of Business rules.

= Business rules =
The Business rules are a set of rules about what to do with the replies to the Guestbook. For instance, if the Business rules state that a dataset is ''Open Recorded'', then the ADA will simply check if the Guestbook has been completed and then grant access. However, for 'ADA Managed' and 'ADA Facilitated' the responses will be assesed by the Access team in detail. The standard business rules are as follows:

The applicant:

* has submitted a Dataverse Access Request via the Guestbook and has filled in all required information
* is from a university or governmental organisation and has proven this by applying with their organisational email address, which they have verified
* has a genuine research purpose, which is plausibly outlined in their project description
* is not planning to use the data for commercial use
* course work students can apply if the course has been registered with the ADA by the course convenor. Research students are treated like other researchers.

Quick Deposit Guide

2025-02-05T04:16:23Z

TGregor: /* Step 1 - Contact the ADA */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [https://vocabs.ardc.edu.au/viewById/316 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts. Licenses and access conditions will be discussed once the deposit is accepted for archiving with the ADA.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the meaning of each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page.

Please upload your data files and supporting documentation files to this site. Alternative file sharing services can be used by prior arrangement with ADA. For security reasons, please do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.

If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

= Step 5 - License and Access conditions =
Before data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This license specifies the conditions under which the ADA can disseminate the data. See the [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] section on the ADA wiki for more information.

The agreement allows you to specify the terms and conditions of access for data users, the details users must provide, and the process by which data requests will be assessed and approved, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data.

Governance & Resources

2024-09-05T06:37:08Z

TGregor: /* Organisation of the ADA */

= Organisation of the ADA =
The ADA staff comprises 8 staff members at time of submission, with a total of 7.05 FTE:

* Director
* Technical Manager
* Software developer
* Senior data access officer
* Data access officer (part time)
* Archive Manager
* Data archivists (x2)

ADA staff are organised into three groups within the archive – Data Access, Data Archiving, and Technical. The ADA director reports directly to the Director of POLIS, the administrative organisational unit in the ANU that provides ADA’s organisational home. As part of an established ANU Centre, ADA is governed by the ANU’s Policy on Centres and Institutes (https://policies.anu.edu.au/ppl/document/ANUP_012009). This includes governance through the POLIS Executive Management Committee (https://csrm.cass.anu.edu.au/people/management-committee) that provides oversight and independent advice on POLIS’s objectives and progress. In addition to ADA staff, additional IT functions are provided by two ADA outsource partners:

* The National Computational Infrastructure ([https://nci.org.au/ NCI]) is Australia’s preeminent computing facility, delivering on the critical national need for high-performance data, storage, and computing services. NCI provides compute, storage and network infrastructure for the ADA, and is supported by a team of over 70 staff, funded through Australia’s National Collaborative Research Infrastructure Strategy (NCRIS).

* The Australian Consortium for Social and Political Research Incorporated ([ https://www.acspri.org.au/ ACSPRI]) provides development operations support for the ADA on a contractual basis. ACSPRI and ADA have a long term collaboration dating back to the establishment of both organisations in 1981.

= Timescale =
The ADA is core funded on an ongoing basis by the Australian National University (ANU), primarily through the National Institutes Grant provided directly to the ANU by the Australian federal government (https://policies.anu.edu.au/ppl/document/ANUP_018016 ). This funding has been supporting ANU since it’s establishment in 1981. Core funding is then supplemented by project grant funding from a variety of sources. In the last 10 years, this has included funding through the Australian Research Council, Australian Research Data Commons, Horizon Europe (European Commission) and contract research with government agencies and other external partners.

= Demonstrate that the repository can meet its obligations =
ADA’s staffing and infrastructure support has enabled the operation of the archive for over 40 years. The continuing operations of the archive will continue to focus on including a breadth of funding sources to supplement the ANU core funding, and use of outsourcing partners to support core archive staff to provide relevant operational functions. As ADA’s budget is part of the overall ANU corporate budget, there is no separate documentation of the ADA’s budget that can be provided. However, while no funding is ever certain, it is our expectation that this strategy will continue to provide a sound basis for ADA operations into the foreseeable future, based on our 40 years of continuous operation.

Governance & Resources

2024-09-05T06:36:11Z

TGregor: Created page with "= Organisation of the ADA = The ADA staff comprises 8 staff members at time of submission, with a total of 7.05 FTE: * Director * Technical Manager * Software developer * Senior data access officer * Data access officer (part time) * Archive Manager * Data archivists (x2) ADA staff are organised into three groups within the archive – Data Access, Data Archiving, and Technical. The ADA director reports directly to the Director of POLIS, the administrative..."

= Organisation of the ADA =
The ADA staff comprises 8 staff members at time of submission, with a total of 7.05 FTE:

* Director
* Technical Manager
* Software developer
* Senior data access officer
* Data access officer (part time)
* Archive Manager
* Data archivists (x2)

ADA staff are organised into three groups within the archive – Data Access, Data Archiving, and Technical.

The ADA director reports directly to the Director of POLIS, the administrative organisational unit in the ANU that provides ADA’s organisational home. As part of an established ANU Centre, ADA is governed by the ANU’s Policy on Centres and Institutes (https://policies.anu.edu.au/ppl/document/ANUP_012009). This includes governance through the POLIS Executive Management Committee (https://csrm.cass.anu.edu.au/people/management-committee) that provides oversight and independent advice on POLIS’s objectives and progress.

In addition to ADA staff, additional IT functions are provided by two ADA outsource partners:

The National Computational Infrastructure ([https://nci.org.au/ NCI]) is Australia’s preeminent computing facility, delivering on the critical national need for high-performance data, storage, and computing services. NCI provides compute, storage and network infrastructure for the ADA, and is supported by a team of over 70 staff, funded through Australia’s National Collaborative Research Infrastructure Strategy (NCRIS).

The Australian Consortium for Social and Political Research Incorporated ([ https://www.acspri.org.au/ ACSPRI]) provides development operations support for the ADA on a contractual basis. ACSPRI and ADA have a long term collaboration dating back to the establishment of both organisations in 1981.

= Timescale =
The ADA is core funded on an ongoing basis by the Australian National University (ANU), primarily through the National Institutes Grant provided directly to the ANU by the Australian federal government (https://policies.anu.edu.au/ppl/document/ANUP_018016 ). This funding has been supporting ANU since it’s establishment in 1981. Core funding is then supplemented by project grant funding from a variety of sources. In the last 10 years, this has included funding through the Australian Research Council, Australian Research Data Commons, Horizon Europe (European Commission) and contract research with government agencies and other external partners.

= Demonstrate that the repository can meet its obligations =
ADA’s staffing and infrastructure support has enabled the operation of the archive for over 40 years. The continuing operations of the archive will continue to focus on including a breadth of funding sources to supplement the ANU core funding, and use of outsourcing partners to support core archive staff to provide relevant operational functions. As ADA’s budget is part of the overall ANU corporate budget, there is no separate documentation of the ADA’s budget that can be provided. However, while no funding is ever certain, it is our expectation that this strategy will continue to provide a sound basis for ADA operations into the foreseeable future, based on our 40 years of continuous operation.

Continuity of Service

2024-09-05T06:19:23Z

TGregor: Created page with "= Services Offered by the ADA = The Australian Data Archive offers three core services to our user community, in line with the OAIS model: * Deposit of research data in line with our ADA collections policy [22] under a depositor agreement * Preservation of deposited data (see R09 Preservation Plan) * Curation of deposited research data at the data level (see R10 Quality Assurance and R11 Workflows) * Dissemination of curated data to data users at different access..."

= Services Offered by the ADA =
The Australian Data Archive offers three core services to our user community, in line with the OAIS model:

* Deposit of research data in line with our ADA collections policy [22] under a depositor agreement
* Preservation of deposited data (see R09 Preservation Plan)
* Curation of deposited research data at the data level (see R10 Quality Assurance and R11 Workflows)
* Dissemination of curated data to data users at different access levels, subject to the terms and conditions of access specified by the Data-rights holder in the depositor agreement

=Long-term Planning =
The ADA has existed with the mission to obtain, archive and disseminate research data for secondary use since 1981 at the Australian National University (ANU). The ANU was established in 1946 by an act of the Federal Parliament of Australia, and thus is established as a long term institution. University structures are such that funding cycles and employment at the University are not available for publication in the public domain, however the ANU has provided core funding for the ADA since the inception of the ADA in 1981 (44 years), and its support is ongoing to this day. The ADA exists as an administrative unit within POLIS: The Centre for Social Policy Research ([https://csrm.cass.anu.edu.au/ POLIS]). POLIS is established as a Centre within the Research School of Social Sciences at the ANU and is covered by ANU Policy on Centres and Institutes (https://policies.anu.edu.au/ppl/document/ANUP_012009). The ADA core mission is embedded in that of the long term strategic plan of POLIS.

=Fall-back option=
As a unit within the ANU we rely upon the institutional obligations of The University for both long term continuity and infrastructure support. With specific reference to data preservation, the data holdings would be transferred to the ANU Archive to provide continuity of the collection under The ANU Archive Collection Policy for records of continuing value. ADA can also return data holdings to the owners in the unlikely event of its cessation, as. The ADA does not have agreements currently with other archives or institutions outside of the ANU for provision of data in the event of its cessation.

Mission & Scope

2024-09-05T06:01:13Z

TGregor:

The Australian Data Archive ([https://ada.edu.au/about-ada/ ADA]) provides a national service for the collection and preservation of digital research data; primarily in the domain of Social Science (Social, Political and Economic affairs), disseminating this data for secondary analysis by academic researchers and other users (ADA Collection Policy Mission Statement).

The ADA is based in POLIS: The Centre for Social Policy Research, in the Research School of Social Sciences ([https://csrm.cass.anu.edu.au/ POLIS]) at the Australian National University (ANU). ADA was established in 1981 with a mission to provide a national service for the collection and preservation of digital data relating to social, political and economic affairs and to make these data available for further analysis.

The mission statement is approved by the Director of the ADA, in consultation with the Director of POLIS and ADA stakeholders.

ADAPT

2024-09-05T05:23:34Z

TGregor:

ADAPT (ADA Processing tool) is a web-based tool developed by ADA to ensure that data and metadata in the Archive are programmatically moved between Dataverse instances and ADA’s archival storage.

ADAPT

2024-09-05T05:16:07Z

TGregor:

ADAPT (ADA Processing tool0 is a web-based tool developed by ADA to ensure that data and metadata in the Archive are programmatically moved between Dataverse instances and ADA’s archival storage.

Workflows

2024-09-05T04:26:56Z

TGregor:

= Assessment for Suitability of Deposit =

When a prospective depositor has made contact with the ADA, the deposit request is assessed by the director or deputy director of the ADA for suitability (see [[Deposit Appraisal & Collection Policy]]).

= Upload of Data and Documentation =

== Deposit Shell ==
Once the deposit has been provisionally accepted, an ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site. The Deposit Dataverse is the first of three instances of Dataverse used in the archival process by the ADA. The three Dataverse installations (Deposit/Test/Production) are isolated from one another, with only the [https://dataverse.ada.edu.au/ Production Dataverse], the third instance, publicly accessible. See [[Storage & Integrity]] on how and where data is stored.

The deposit shell simply looks like an empty version of a dataset on the [https://dataverse.ada.edu.au/ Production Dataverse]. Other secure file sharing solutions are allowed, however, this should be discussed with the ADA first. For security reason do not send data files by email.

== Data upload ==
To the Deposit Dataverse, Data-rights holder (or their authorised data depositor) uploads the data files and supporting documentation (e.g. questionnaires, technical reports). The ADA archivist will prompt the depositor to fill in the DDI metadata fields in the Deposit Dataverse as well. The ADA will contact the depositor if further information is needed to create complete documentation for their data (See [[Quality Assurance]] for more details).

= Data Processing =
== Submission Information Package ==
After the upload of the data is complete [[ADAPT]] assigns each draft deposit a unique six-digit ADA Identification (ADAID) number. The complete draft submission of the data is then stored by ADAPT to an archive folder structure with the same unique ADAID number hosted by the National Computational Infrastructure ([https://nci.org.au/ NCI]) as the Submission Information Package (SIP). Within the SIP, the initial draft deposit remains unchanged so that a complete end-to-end audit trail can be maintained at all times. The archivists use a copy of the data to perform updates and amendments to the material as required. The NCI storage and working areas are accessed via a Remote Desktop Service (RDS) that is managed by the NCI.

== Curation ==

Trained ADA archivist staff (see [[Expertise & Guidance]]) can perform various levels of curation as agreed with the data owner/depositor. The level of curation may depend on the type of dataset (quantitative or qualitative) deposited, the importance of the dataset and its confidentiality (government of longitudinal data), or other factors as determined in consultation with the data depositor. For all types of data the ADA archivist will check for privacy risks and liaise with the depositor about how best to mitigate them. For qualitative data, this could mean that only the transcript of an interview is published (without the recording) or even just an interview summary, depending in the level of sensitivity in the data. For quantitative data, variables with a particularly high re-identification risk can be relegated to a separate file, which will be published with additional access conditions. All data will be checked for re-usability, e.g. clear labels. In addition to that, tabular data is exported to SPSS, STATA, SAS und CSV formats for publication. All proposed changes to the data are captured in a Processing Report for the deposit. This report is sent to the Data Owner’s for approval prior to the changes being made. All agreed changes are recorded in the curation syntax (SPSS or R).

= Review of Data and Metadata =
== Cross Check ==
Once all agreed changes to the data and metadata have been made, the ADA archivist will set up a preview page on the second instance of Dataverse, the Test Dataverse, that reflects the current state of the metadata and files. The data owner/depositor will be provided with a private URL to review the data.

== License, Terms & Conditions, Access conditions ==
Before a dataset can be published, the data owner or data rights holder has to sign the license forms, see [[Rights Management]]. In these documents to terms & conditions for the data a specified and the access conditions are set out.

= Publication =
Once the data owner/depositor has approved the preview version, it is copied to the third instance of Dataverse, the [https://dataverse.ada.edu.au/ Production Dataverse]. On this instance of Dataverse, the data is published and can be requested by external users. For all datasets, the metadata is freely available for viewing. Data itself can be downloaded subject to the user’s fulfilment of the data access criteria. This usually involves providing a verified email address and answering a number of guestbook questions. The access criteria depend on the licensing agreement the owner has signed with the ADA, before publication of the data. For each dataset, the access criteria are formalised as Business Rules and are updated and stored on the ADA’s internal wiki site (These pages are not publicly available).

== Updates and Version control ==
Changes or updates to the data files of an already published deposit are treated like a new deposit, i.e. a new SIP, AIP and DIP are created. Changes to published datasets are also automatically version controlled through the Dataverse application. Major changes, that is a change to the data, result in a new version release (i.e. Version 0.0 becomes Version 1.0), whilst a minor change such as the addition of metadata results in a sub-version uplift (i.e. from Version 0.0 to Version 0.1), see [[Provenance and authenticity]].

= Preservation =
After a dataset is successfully published on the ADA Dataverse for access, preservation versions of the DDI metadata are exported using the Dataverse export functionality. The metadata is stored in the preservation directory, along with a copy of the published SPSS data file(s) and SPSS syntax. [https://docs.ada.edu.au/index.php/Preservation_plan The Preservation Plan] outlines how ADA manages long term preservation of data and metadata for reuse.

= Adjusting Workflows, Decision Handling, and Change Management =

ADA Archive Team holds weekly meetings to make decisions on matters that have arisen. These meetings are minuted and decisions documented. Existing workflows are discussed and can be modified. This includes regular consideration for creating change to solve problems or find more efficient ways of working. Colleagues from other teams are invited as needed to adjust workflows and change management based on technological changes or internal and external influences such as covered under [[Governance & Resources]] and from the Designated Community.

Workflows

2024-09-05T01:47:10Z

TGregor: /* Publication */

Workflows

2024-09-05T01:39:53Z

TGregor:

Workflows

2024-09-05T00:00:02Z

TGregor: /* Upload of Data and Documentation */

= Assessment for Suitability of Deposit =

When a prospective depositor has made contact with the ADA, the deposit request is assessed by the director or deputy director of the ADA for suitability (see [[Deposit Appraisal & Collection Policy]]).

= Upload of Data and Documentation =

== Deposit Shell ==
Once the deposit has been provisionally accepted, an ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site. The Deposit Dataverse is the first of three instances of Dataverse used in the archival process by the ADA. The three Dataverse installations (Deposit/Test/Production) are isolated from one another, with only the [https://dataverse.ada.edu.au/ Production Dataverse], the third instance, publicly accessible. See [[Storage & Integrity]] on how and where data is stored.

The deposit shell simply looks like an empty version of a dataset on the [https://dataverse.ada.edu.au/ Production Dataverse]. Other secure file sharing solutions are allowed, however, this should be discussed with the ADA first. For security reason do not send data files by email.

== Data upload ==
To the Deposit Dataverse, Data-rights holder (or their authorised data depositor) uploads the data files and supporting documentation (e.g. questionnaires, technical reports). The ADA archivist will prompt the depositor to fill in the DDI metadata fields in the Deposit Dataverse as well. The ADA will contact the depositor if further information is needed to create complete documentation for their data (See [[Quality Assurance]] for more details).

== Data processing ==
From here, [[ADAPT]] assigns each draft deposit a unique six-digit ADA Identification (ADAID) number. The complete draft submission of the data is then stored by ADAPT to an archive folder structure with the same unique ADAID number hosted by the National Computational Infrastructure ([https://nci.org.au/ NCI]) as the Submission Information Package (SIP). Within the SIP, the initial draft deposit remains unchanged so that a complete end-to-end audit trail can be maintained at all times. The archivists use a copy of the data to perform updates and amendments to the material as required. The NCI storage and working areas are accessed via a Remote Desktop Service (RDS) that is managed by the NCI.

Trained ADA archivist staff (see [[Expertise & Guidance]]) can perform various levels of curation as agreed with the data owner/depositor. The level of curation may depend on the type of dataset (quantitative or qualitative) deposited, the importance of the dataset and its confidentiality (government of longitudinal data), or other factors as determined in consultation with the data depositor. For all types of data the ADA archivist will check for privacy risks and liaise with the depositor about how best to mitigate them. For qualitative data, this could mean that only the transcript of an interview is published (without the recording) or even just an interview summary, depending in the level of sensitivity in the data. For quantitative data, variables with a particularly high re-identification risk can be relegated to a separate file, which will be published with additional access conditions. All data will be checked for re-usability, e.g. clear labels. In addition to that, tabular data is exported to SPSS, STATA, SAS und CSV formats for publication. All proposed changes to the data are captured in a Processing Report for the deposit. This report is sent to the Data Owner’s for approval prior to the changes being made. All agreed changes are recorded in the curation syntax (SPSS or R).

== Review and Publication ==
Once all agreed changes to the data and metadata have been made, the ADA archivist will set up a preview page on the second instance of Dataverse, the Test Dataverse, that reflects the current state of the metadata and files. The data owner/depositor will be provided with a private URL to review the data. Once the data owner/depositor has approved the preview version, it is copied to the third instance of Dataverse, the Production Dataverse. On this instance of Dataverse, the data is published and can be requested by external users. For all datasets, the metadata is freely available for viewing. Data itself can be downloaded subject to the Data Owner’s licensing agreement and the user fulfilment of the data access criteria (see [[Setting Access Conditions]]. This usually involves providing a verified email address and answering a number of guestbook questions. The access criteria for each dataset are formalised as Business Rules and are updated and stored on the ADA’s internal wiki site (These pages are not publicly available).

Changes or updates to the data files of an already published deposit are treated like a new deposit, i.e. a new SIP, AIP and DIP are created. Changes to published datasets are also automatically version controlled through the Dataverse application. Major changes, that is a change to the data, result in a new version release (i.e. Version 0.0 becomes Version 1.0), whilst a minor change such as the addition of metadata results in a sub-version uplift (i.e. from Version 0.0 to Version 0.1), see [[Provenance and authenticity]].

== Preservation ==
After a dataset is successfully published on the ADA Dataverse for access, preservation versions of the DDI metadata are exported using the Dataverse export functionality. The metadata is stored in the preservation directory, along with a copy of the published SPSS data file(s) and SPSS syntax. [https://docs.ada.edu.au/index.php/Preservation_plan The Preservation Plan] outlines how ADA manages long term preservation of data and metadata for reuse.

= Data Curation Process =
== Submission Information Package ==
Draft deposits are each assigned a unique six-digit ADA Identification (ADAID) number. The complete draft submission is then saved to an archive folder structure with the same unique ADAID number hosted by the National Computational Infrastructure (NCI) as the Submission Information Package (SIP). Within the SIP, the initial draft deposit remains unchanged so that a complete end-to-end audit trail can be maintained at all times. The archivists uses a copy of the data to perform updates and amendments to the material as required. The NCI storage and working areas are accessed via a Remote Desktop Service (RDS) that is managed by the NCI.

== Data Processing ==
Trained ADA archivist staff can perform various levels of curation as agreed with the data owner/depositor. The level of curation may depend on the type of dataset (quantitative or qualitative) deposited, the importance of the dataset and its confidentiality (government of longitudinal data), or other factors as determined in consultation with the data depositor. All proposed changes to the data are captured in a Processing Report for the deposit. This report is sent to the Data Owner’s for approval prior to the changes being made. All agreed changes are tracked and retraceable in the curation syntax (SPSS or R). The processed data and supporting documentation files are converted to preservation formats suitable for long term storage and are saved in the archive file structure as the Archival Information Package (AIP). The Processing Reports are also retained in the archive and form part of the AIP. Approved changes can also be made to the data, supporting information and metadata, by the Data Owner (or if authorised the data depositor) when the information is still in a draft format in the Deposit Dataverse if required. All copies of syntax and superseded data/documents are also retained in an archival form as part of the AIP.

= Review of Data and Metadata =
== Cross Check ==
Once all agreed changes to the data and metadata have been made, the ADA archivist will set up a preview page on the second instance of Dataverse, the Test Dataverse, that reflects the current state of the metadata and files. The data owner/depositor will be provided with a private URL to review the data.

== License, Terms & Conditions, Access conditions ==
Before a dataset can be published, the data owner or data rights holder has to sign the license forms, see [[Rights Management]]. In these documents to terms & conditions for the data a specified and the access conditions are set out.

= Publication =
Once the data owner/depositor has approved the preview version, it is copied to the third instance of Dataverse, the [https://dataverse.ada.edu.au/ Production Dataverse]. On this instance of Dataverse, the data is published and can be requested by external users.

Changes made to published datasets are version controlled and stored within the NCI File structure as part of the AIP. Changes to published Datasets are also automatically version controlled through the Dataverse application. Major changes, that is a change to the data, result in a new version release (i.e. Version 0.0 becomes Version 1.0), whilst a minor change such as the addition metadata results in a sub-version uplift (i.e. from Version 0.0 to Version 0.1).

For all datasets, the metadata is freely available for viewing. Data itself can be downloaded subject to the Data Owner’s licensing agreement and the user fulfilment of the data access criteria. This usually involves providing a verified email address and answering a number of guestbook questions. The access criteria for each dataset are formalised as Business Rules and are updated and stored on the ADA’s internal wiki site (These pages are not publicly available).

Quality Assurance

2024-09-04T05:15:30Z

TGregor: /* Data Curation */

= Quality Checks =
The ADA expects a data deposit to be of a certain quality when it is submitted (see [[Quick Deposit Guide]] for instructions). Nevertheless, all data deposits are assessed for quality by an ADA archivist. This assessment includes both the content and the form. On the content side, the ADA archivist will scrutinise the data for direct and indirect identifiers. On the form side, the ADA archivist will check that all variables have un-ambiguous clear labels for all variables and runs spell checks, as well as basic consistency and completeness checks.

= Data Curation =
The ADA archivist will propose changes to the depositor (see [[Workflows]] for details on data curation). If the depositor does not agree to changes the ADA archivist deems absolutely necessary, a deposit can be rejected. The ADA archivist will implement the agreed upon changes and furthermore generate versions of the data for SPSS, SAS, STATA and CSV for maximal usability. All submitted data is subject to data-level curation (see [[Background Information and Context]] Part 5).

= Documentation & Metadata =

Accompanying documents are uploaded to ensure comprehension of the study and the data sets. Moreover, the archivist will liaise with the depositor to ensure all necessary value labels and codes are defined, that metadata fields can be completed according to [https://ddialliance.org/ Data Documentation Initiative] (DDI) standards and that the data is understandable to other researchers. It is not a requirement that a study meets all fields of the DDI but it is imperative for it to meet a minimum requirement to enable reuse.

The ADA encourages depositors to include references to related publications and other relevant digital resources in their project metadata with appropriate metadata fields provided on Dataverse for this purpose.

= Vocabulary & Classification =
The ADA uses [http://vocabularyserver.com/apais/ APAIS] vocabulary for keywords in the Dataverse catalogue, as well as [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR] codes for topic classification.

Quality Assurance

2024-09-04T05:14:26Z

TGregor: /* Quality Checks */

= Quality Checks =
The ADA expects a data deposit to be of a certain quality when it is submitted (see [[Quick Deposit Guide]] for instructions). Nevertheless, all data deposits are assessed for quality by an ADA archivist. This assessment includes both the content and the form. On the content side, the ADA archivist will scrutinise the data for direct and indirect identifiers. On the form side, the ADA archivist will check that all variables have un-ambiguous clear labels for all variables and runs spell checks, as well as basic consistency and completeness checks.

= Data Curation =
The ADA archivist will propose changes to the depositor (see [[Workflows]] for details on data curation). If the depositor does not agree to changes the ADA archivist deems absolutely necessary, a deposit can be rejected. The ADA archivist will implement the agreed upon changes and furthermore generate versions of the data for SPSS, SAS, STATA and CSV for maximal usability. All submitted data is subject to data-level curation (see [[Background]] Part 5).

= Documentation & Metadata =

Accompanying documents are uploaded to ensure comprehension of the study and the data sets. Moreover, the archivist will liaise with the depositor to ensure all necessary value labels and codes are defined, that metadata fields can be completed according to [https://ddialliance.org/ Data Documentation Initiative] (DDI) standards and that the data is understandable to other researchers. It is not a requirement that a study meets all fields of the DDI but it is imperative for it to meet a minimum requirement to enable reuse.

The ADA encourages depositors to include references to related publications and other relevant digital resources in their project metadata with appropriate metadata fields provided on Dataverse for this purpose.

= Vocabulary & Classification =
The ADA uses [http://vocabularyserver.com/apais/ APAIS] vocabulary for keywords in the Dataverse catalogue, as well as [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR] codes for topic classification.

Provenance and authenticity

2024-09-04T04:27:16Z

TGregor:

To ensure clear provenance and authenticity tracking of each deposit, the ADA is basing its [[Workflows]] in the [http://www.oais.info/ Open Archival Information System] (or OAIS) model.

Depositors are required to sign an ADA Data License (see [[Rights Management]]) confirming they have the right to share the data. The original data and metadata a depositor submits to the ADA Deposit Dataverse (see [[Storage & Integrity]]) instance is preserved unchanged as a Submission Information package (SIP) by the ADA Processing Tool ([[ADAPT]]). ADAPT is a web-based tool developed by ADA to ensure that data and metadata in the Archive are programmatically moved between Dataverse instances and ADA’s archival storage. ADAPT implements [https://www.w3.org/TR/2013/REC-prov-o-20130430/ PROV-O] to express basic classes to log these activities. Any curation required is done on a copy of the data.

Curation and processing of the data are recorded in a processing report supplied to and approved by the depositor, and also programmatically for quantitative data in SPSS or R syntax. These documents are stored under a unique ADA ID with the SIP as part of the Archival information package (AIP), see [[Quality Assurance]] for details of the curation.

The Dissemination Information package (DIP) is generated from the AIP and is made accessible on separate instances of dataverse, first on the Test Dataverse for the depositor to review, then on the Production Dataverse for user access (see [[Storage & Integrity]]).

Changes or updates to the data files of an already published deposit are treated like a new deposit, i.e. a new SIP, AIP and DIP are created. Metadata changes by depositors are managed through the ADA ticketing system, which includes identification checks by ensuring contact information matches the corresponding verified user account on Dataverse.

Once the data is published on the [https://dataverse.ada.edu.au/ Production Dataverse], any changes to files and metadata are tracked in Dataverse’s versioning.

Quality Assurance

2024-09-03T01:23:18Z

TGregor:

= Quality Checks =
The ADA expects a data deposit to be of a certain quality when it is submitted (see [[2. Deposit Preparation]] for instructions). Nevertheless, all data deposits are assessed for quality by an ADA archivist. This assessment includes both the content and the form. On the content side, the ADA archivist will scrutinise the data for direct and indirect identifiers. On the form side, the ADA archivist will check that all variables have un-ambiguous clear labels for all variables and runs spell checks, as well as basic consistency and completeness checks.

= Data Curation =
The ADA archivist will propose changes to the depositor (see [[Workflows]] for details on data curation). If the depositor does not agree to changes the ADA archivist deems absolutely necessary, a deposit can be rejected. The ADA archivist will implement the agreed upon changes and furthermore generate versions of the data for SPSS, SAS, STATA and CSV for maximal usability. All submitted data is subject to data-level curation (see [[Background]] Part 5).

= Documentation & Metadata =

Accompanying documents are uploaded to ensure comprehension of the study and the data sets. Moreover, the archivist will liaise with the depositor to ensure all necessary value labels and codes are defined, that metadata fields can be completed according to [https://ddialliance.org/ Data Documentation Initiative] (DDI) standards and that the data is understandable to other researchers. It is not a requirement that a study meets all fields of the DDI but it is imperative for it to meet a minimum requirement to enable reuse.

The ADA encourages depositors to include references to related publications and other relevant digital resources in their project metadata with appropriate metadata fields provided on Dataverse for this purpose.

= Vocabulary & Classification =
The ADA uses [http://vocabularyserver.com/apais/ APAIS] vocabulary for keywords in the Dataverse catalogue, as well as [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR] codes for topic classification.

ADAPT

2024-09-03T00:51:39Z

TGregor: Created page with " ADAPT is a web-based tool developed by ADA to ensure that data and metadata in the Archive are programmatically moved between Dataverse instances and ADA’s archival storage."

ADAPT is a web-based tool developed by ADA to ensure that data and metadata in the Archive are programmatically moved between Dataverse instances and ADA’s archival storage.

Provenance and authenticity

2024-09-03T00:50:24Z

TGregor:

To ensure clear provenance and authenticity tracking of each deposit, the ADA is basing its [[Workflows]] in the [http://www.oais.info/ Open Archival Information System] (or OAIS) model.

Depositors are required to sign an ADA Data License (see [[Rights Management]]) confirming they have the right to share the data. The original data and metadata a depositor submits to the ADA Deposit Dataverse instance is preserved unchanged as a Submission Information package (SIP) by the ADA Processing Tool ([[ADAPT]]). ADAPT is a web-based tool developed by ADA to ensure that data and metadata in the Archive are programmatically moved between Dataverse instances and ADA’s archival storage. ADAPT implements [https://www.w3.org/TR/2013/REC-prov-o-20130430/ PROV-O] to express basic classes to log these activities. Any curation required is done on a copy of the data.

Curation and processing of the data are recorded in a processing report supplied to and approved by the depositor, and also programmatically for quantitative data in SPSS or R syntax. These documents are stored under a unique ADA ID with the SIP as part of the Archival information package (AIP), see [[Quality Assurance]] for details of the curation.

The Dissemination Information package (DIP) is generated from the AIP and is made accessible on a separate instance of dataverse, the Production Dataverse.

Changes or updates to the data files of an already published deposit are treated like a new deposit, i.e. a new SIP, AIP and DIP are created. Metadata changes by depositors are managed through the ADA ticketing system, which includes identification checks by ensuring contact information matches the corresponding verified user account on Dataverse.

Once the data is published on the [https://dataverse.ada.edu.au/ Production Dataverse], any changes to files and metadata are tracked in Dataverse’s versioning.

Quick Deposit Guide

2024-08-21T01:05:23Z

TGregor: /* Step 3 - Upload files */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts. Licenses and access conditions will be discussed once the deposit is accepted for archiving with the ADA.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the meaning of each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page.

Please upload your data files and supporting documentation files to this site. Alternative file sharing services can be used by prior arrangement with ADA. For security reasons, please do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.

If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

= Step 5 - License and Access conditions =
Before data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This license specifies the conditions under which the ADA can disseminate the data. See the [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] section on the ADA wiki for more information.

The agreement allows you to specify the terms and conditions of access for data users, the details users must provide, and the process by which data requests will be assessed and approved, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data.

Quick Deposit Guide

2024-08-21T01:04:36Z

TGregor: /* Step 4 - Provide metadata */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts. Licenses and access conditions will be discussed once the deposit is accepted for archiving with the ADA.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the meaning of each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). Navigate to the Metadata tab, and click ‘Add + Edit Metadata’ to edit the fields.

If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

= Step 5 - License and Access conditions =
Before data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This license specifies the conditions under which the ADA can disseminate the data. See the [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] section on the ADA wiki for more information.

The agreement allows you to specify the terms and conditions of access for data users, the details users must provide, and the process by which data requests will be assessed and approved, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data.

Quick Deposit Guide

2024-08-21T01:03:31Z

TGregor: /* Step 5 - License and Access conditions */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts. Licenses and access conditions will be discussed once the deposit is accepted for archiving with the ADA.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the meaning of each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This license specifies the conditions under which the ADA can disseminate the data. See the [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] section on the ADA wiki for more information.

The agreement allows you to specify the terms and conditions of access for data users, the details users must provide, and the process by which data requests will be assessed and approved, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data.

Quick Deposit Guide

2024-08-21T00:59:54Z

TGregor: /* Reusability of data */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts. Licenses and access conditions will be discussed once the deposit is accepted for archiving with the ADA.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the meaning of each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-21T00:56:22Z

TGregor: /* Step 1 - Contact the ADA */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts. Licenses and access conditions will be discussed once the deposit is accepted for archiving with the ADA.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-21T00:55:42Z

TGregor: /* Step 1 - Contact the ADA */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department or Research group: '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-21T00:55:12Z

TGregor: /* Step 1 - Contact the ADA */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department of Research unit: '''
'''- Study Series (if applicable): '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-07T23:58:42Z

TGregor: /* Step 3 - Upload files */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department of Research unit: '''
'''- Study Series (if applicable): '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''
'''- Qualitative or Quantitative data:'''
'''- Is the data sensitive?: '''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will send you a link to a website where you can securely upload your files. To access this website you will first be directed to create a user account. Please inform the ADA once you have done that step, so we can give you editing rights to your deposit page. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-07T23:48:14Z

TGregor: /* Reusability of data */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department of Research unit: '''
'''- Study Series (if applicable): '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''
'''- Qualitative or Quantitative data:'''
'''- Is the data sensitive?: '''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable, and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site for you. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-07T23:46:51Z

TGregor: /* De-identification of sensitive data */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department of Research unit: '''
'''- Study Series (if applicable): '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''
'''- Qualitative or Quantitative data:'''
'''- Is the data sensitive?: '''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personal information about the respondents in a survey that could lead to the identification of an individual respondent.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable , and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site for you. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-07T04:56:07Z

TGregor: /* Documentation files */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department of Research unit: '''
'''- Study Series (if applicable): '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''
'''- Qualitative or Quantitative data:'''
'''- Is the data sensitive?: '''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personnel information about the respondents in a survey that could lead to the identification of an individual respondent. If you are not sure if your data contains identifying information, please contact the ADA for guidance.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable , and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for your data. As a minimum, you should supply the study questionnaire (or equivalent research materials that correspond to your data). Other appropriate supporting documentation can include:

* technical report

* instructions to the data collector

Note that related publications with an existing digital identifier (DOI) or webpage (URL) can be referenced in the project metadata on Dataverse.

= Step 3 - Upload files =
An ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site for you. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Quick Deposit Guide

2024-08-07T04:54:21Z

TGregor:

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Year:'''
'''- Department of Research unit: '''
'''- Study Series (if applicable): '''
'''- [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 Field of Research (FoR) code(s)]: '''
'''- List of Files and File Descriptions:'''
'''- Qualitative or Quantitative data:'''
'''- Is the data sensitive?: '''

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personnel information about the respondents in a survey that could lead to the identification of an individual respondent. If you are not sure if your data contains identifying information, please contact the ADA for guidance.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- Study variable names use a consistent naming convention and can be readily matched to corresponding questions and sections on the study questionnaire (if applicable).'''
'''- All variables have appropriate labels. Labels should enable secondary users to understand the data described by each variable , and ADA recommends that variable label lengths should be 80 characters or less.'''
'''- All values of categorical variables have clear labels, preferably under 25 characters '''
'''- There are no comma or separators in value labels as this can cause problems in CSV files. Ensure also that any leading or trailing spaces are removed. '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA prefers SPSS files for tabular survey data because that file format contains a metadata dictionary. Other compatible formats are also generally accepted, provided variable and values labels can be associated with their data. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for you data. As a minimum, you should supply the questionnaire or equivalent. Other supporting documentation such as a technical report or instructions to the data collector can be deposited as well. Related publication can be linked in the metadata.

= Step 3 - Upload files =
An ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site for you. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Reuse

2024-07-30T06:13:11Z

TGregor: /* Engagement with their Designated Community */

== Engagement with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in [https://csrm.cass.anu.edu.au/ POLIS]: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the [https://ddialliance.org/ DDI Alliance], the [https://groups.google.com/g/dataverse-community?pli=1 Dataverse User Community] (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. ([https://www.acspri.org.au/ ACSPRI]) and the World Association for Public Opinion Research ([https://wapor.org/ WAPOR]) for data users. ADA staff also regularly provide input to community activities such as the Academy of [https://socialsciences.org.au/projects/decadal-plan/ Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure]. Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the [https://www.acspri.org.au/conferences ACSPRI Summer Program and biannual conferences].

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==
For better findability the ADA uses controlled vocabulary and set ontologies for certain parts of the metadata of each dataset:
* '''Keywords:''' [http://vocabularyserver.com/apais/ APAIS]
* '''Topic Classification:''' [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR codes]

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation - Future proofing reusability ==
The ADA is committed to staying aligned with the needs of the designated community. It is actively engaged with the community through conferences and committees to stay in touch with changes in technology and requirements. The chosen platform, Dataverse, is used by many other archives and repositories and is frequently updated to serve the needs of the community. Apart from that, the ADA uses active preservation strategies to future proof the data they archive, see [[Preservation plan]] for details.

Reuse

2024-07-30T06:08:46Z

TGregor: /* Engagement with their Designated Community */

== Engagement with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in [https://csrm.cass.anu.edu.au/ POLIS]: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==
For better findability the ADA uses controlled vocabulary and set ontologies for certain parts of the metadata of each dataset:
* '''Keywords:''' [http://vocabularyserver.com/apais/ APAIS]
* '''Topic Classification:''' [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR codes]

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation - Future proofing reusability ==
The ADA is committed to staying aligned with the needs of the designated community. It is actively engaged with the community through conferences and committees to stay in touch with changes in technology and requirements. The chosen platform, Dataverse, is used by many other archives and repositories and is frequently updated to serve the needs of the community. Apart from that, the ADA uses active preservation strategies to future proof the data they archive, see [[Preservation plan]] for details.

Reuse

2024-07-30T06:02:23Z

TGregor: /* Changes to Data, Metadata, Documentation - Future proofing reusability */

== Engagement with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==
For better findability the ADA uses controlled vocabulary and set ontologies for certain parts of the metadata of each dataset:
* '''Keywords:''' [http://vocabularyserver.com/apais/ APAIS]
* '''Topic Classification:''' [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR codes]

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation - Future proofing reusability ==
The ADA is committed to staying aligned with the needs of the designated community. It is actively engaged with the community through conferences and committees to stay in touch with changes in technology and requirements. The chosen platform, Dataverse, is used by many other archives and repositories and is frequently updated to serve the needs of the community. Apart from that, the ADA uses active preservation strategies to future proof the data they archive, see [[Preservation plan]] for details.

Reuse

2024-07-30T05:58:22Z

TGregor: /* Engages with their Designated Community */

== Engagement with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==
For better findability the ADA uses controlled vocabulary and set ontologies for certain parts of the metadata of each dataset:
* '''Keywords:''' [http://vocabularyserver.com/apais/ APAIS]
* '''Topic Classification:''' [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR codes]

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation - Future proofing reusability ==
The ADA is committed to stay aligned with the needs of the designated community. It is actively engaged with the community through conferences and committees to stay in touch with changes in technology and requirements. The chosen platform, Dataverse, is used by many other archives and repositories and is frequently updated to serve the needs of the community. Apart from that, the ADA uses active preservation strategies to future proof the data they archive, see [[Preservation plan]] for details.

Reuse

2024-07-30T05:55:38Z

TGregor: /* Changes to Data, Metadata, Documentation - Future proofing reusability */

== Engages with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==
For better findability the ADA uses controlled vocabulary and set ontologies for certain parts of the metadata of each dataset:
* '''Keywords:''' [http://vocabularyserver.com/apais/ APAIS]
* '''Topic Classification:''' [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR codes]

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation - Future proofing reusability ==
The ADA is committed to stay aligned with the needs of the designated community. It is actively engaged with the community through conferences and committees to stay in touch with changes in technology and requirements. The chosen platform, Dataverse, is used by many other archives and repositories and is frequently updated to serve the needs of the community. Apart from that, the ADA uses active preservation strategies to future proof the data they archive, see [[Preservation plan]] for details.

Reuse

2024-07-30T05:54:38Z

TGregor:

Reuse

2024-07-30T05:50:18Z

TGregor:

Reuse

2024-07-30T05:33:29Z

TGregor: /* Controlled Vocabularies and Ontologies */

Reuse

2024-07-30T05:32:11Z

TGregor: /* Controlled Vocabularies and Ontologies */

== Engages with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==
For better findability the ADA uses controlled vocabulary and set ontologies for certain parts of the metadata of each dataset:
* '''Keywords:''' APAIS http://vocabularyserver.com/apais/
* '''Topic Classification:''' ANZSRC FoR code http://purl.org/au-research/vocabulary/anzsrc-for/2008/16

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation ==

== Future proofing reusability ==

Reuse

2024-07-30T05:26:15Z

TGregor: /* Data formats */

== Engages with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in the four formats most widely used by the designated community:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation ==

== Future proofing reusability ==

Reuse

2024-07-25T01:27:14Z

TGregor: /* Data formats */

== Engages with their Designated Community ==

To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreover, the ADA has a presence in national and international workshops and conferences concerned with social science research, as well as archiving and digital data. Staff of the ADA are an active members of the DDI Alliance, the Dataverse User Community (for depositors and archives) and the Australian Consortium for Social and Political Research Inc. (ACSPRI) and the World Association for Public Opinion Research (WAPOR) for data users. ADA staff also regularly provide input to community activities such as the Academy of Social Sciences in Australia’s Decadal Plan for Social Science Research Infrastructure (https://socialsciences.org.au/projects/decadal-plan/). Finally, the Director and Deputy Director engage directly with users as part of ANU and disciplinary teaching and training programs, such as the ACSPRI Summer Program and biannual conferences (https://www.acspri.org.au/conferences).

== Data formats ==

The ADA publishes each quantitative data file in four different formats to maximise usability:
*.sav (SPSS)
*.sas (SAS)
*.dta (STATA)
* .csv

== Controlled Vocabularies and Ontologies ==

== Metadata Formats ==
The reusability of the data is also insured by the ADA’s uses the Data Documentation Initiative (DDI) standard of metadata documentation, developed by social science data archives in collaboration with the social science community internationally, so that important aspects of a study and associated data can be understood by the community. The use of the standard includes the use of discipline-specific terms and vocabulary, and also includes the provision of links to documents, publications and similar studies to enable greater comprehension of the data.

== Changes to Data, Metadata, Documentation ==

== Future proofing reusability ==

Reuse

2024-07-25T01:20:41Z

TGregor: Created page with "== Engages with their Designated Community == To ensure that data and metadata continue to be understood and used effectively into the future the ADA is closely involved with the Designated Community. The ADA sits in POLIS: The Centre for Social Policy Research which places its emphasis on staff who understand and value strong research methods and design and statistical practices. The ADA staff actively engages with researchers in this school and the wider POLIS. Moreov..."

Setting Access Conditions

2024-06-25T05:11:54Z

TGregor:

= Levels of Access Management =
As the Data-rights holder you can decide how the access to your data is managed. There are three basic types of access management:
* '''Open Access''' (the data can simply be downloaded from your Dataverse site)
* '''ADA Managed''' (we grant or decline access based on rules set by you)
* '''ADA Facilitated''' (we forward data requests to you and you let us know which to grant and which to decline)

= Guestbook =
Any data that is not ''Open Access'' needs to be requested. To request data, a user has to create an account on [https://dataverse.ada.edu.au/ ADA Dataverse], select the required files and click the request button. This will open a form, we call a ''Guestbook''. The Standard Guestbook contains the following questions:

'''- Name '''
'''- Email '''
'''- Institution or Organisation '''
'''- Position '''

'''- What is your primary intended use of this data? '''
'''- If other uses, please indicate what other intended use you have for this data? '''
'''- Please provide a short abstract summarising the intended use of the data '''
'''- Please indicate the name and contact email of your supervisor (where applicable) '''
'''- Are there any sources of funding supporting this research? '''
'''- What are the intended publications and outputs that may feature this data? '''

The data-rights holder can change and add guestbook questions. Based on the guestbook, the data-rights holder and the ADA agree on a set of Business rules.

= Business rules =
The Business rules are a set of rules about what to do with the replies to the Guestbook. For instance, if the Business rules state that a dataset is ''Open Recorded'', then the ADA will simply check if the Guestbook has been completed and then grant access. On the other hand, the Business rules could also stipulate that only researchers from Australian universities are allowed to have access for example. How restricted the business rules are, usually depends on how sensitive the data is.

Setting Access Conditions

2024-06-25T05:03:07Z

TGregor:

Setting Access Conditions

2024-06-25T04:56:22Z

TGregor: Created page with "= Levels of Access Management = As the Data-rights holder you can decide how the access to your data is managed. There are three basic types of access management: * '''Open Access''' (the data can simply be downloaded from your Dataverse site) * '''ADA Managed''' (we grant or decline access based on rules set by you) * '''ADA Facilitated''' (we forward data requests to you and you let us know which to grant and which to decline) = Guestbook = Any data that is not ''Open..."

Quick Deposit Guide

2024-06-25T02:43:11Z

TGregor: /* De-identification of sensitive data */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Abstract:'''
'''- Related Data: ''' (e.g. is the data derived from or closely related to other data, especially data already held by the ADA).
'''- Methodology and Data Description:''' (e.g. qualitative data or quantitative data, sensitive or non-sensitive, format etc. ).

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain identifying information about your research participants. This includes, for instance, personnel information about the respondents in a survey that could lead to the identification of an individual respondent. If your not sure if your data contains identifying information, please contact the ADA for guidance.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- all variables have clear labels, preferably under 80 characters long, because some programs such as Stata truncate labels after 80 characters'''
'''- all values of categorical variables have clear labels, preferably under 25 characters '''
'''- there are no comma or separators in value labels as this can cause problems in CSV files '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA accepts data in most formats, but if you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for you data. As a minimum, you should supply the questionnaire or equivalent. Other supporting documentation such as a technical report or instructions to the data collector can be deposited as well. Related publication can be linked in the metadata.

= Step 3 - Upload files =
An ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site for you. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.

Main Page

2024-06-25T01:57:44Z

TGregor: /* Deposit Process Overview */

= Deposit Process Overview =
If you are interested in depositing data with the Australian Data Archive, please write an email to ada@ada.edu.au outlining the topic of your research and the nature of the data, e.g. sensitivity, type, quantity. The ADA will assess each deposit request against a set of criteria, see [[Deposit Appraisal & Collection Policy]]. Once the data has been accepted, the ADA will create a deposit shell on a secure system for the depositor to upload the data, the documentation files and enter metadata (see [[Quick Deposit Guide]] for instructions on what to upload). As part of the curation process, the ADA will view the deposit and make suggestions for changes if necessary (see [[Workflows]] for details). When the curation is complete, the depositor has the opportunity to preview the final version of the deposit on a designated review page. Once the depositor is happy with it, the deposit is published on the [https://dataverse.ada.edu.au/|dataverse: ADA dataverse] and will receive a permanent DOI.

[[File:Deposit_graph_4.png|1200px|center]]

To get started, go to [https://docs.ada.edu.au/index.php/Quick_Deposit_Guide Quick Deposit Guide]

For more detailed information on all the steps in the process see [https://docs.ada.edu.au/index.php/Workflows Workflows]

For assistance navigating this wiki, please refer to [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Navigation navigation help]

To return to the ADA website, please go to [https://ada.edu.au/ ADA Website]

= Australian Data Archive Overview =

*[[Background Information & Context]]

Organisational Infrastructure

*[[Mission & Scope]]
*[[Rights Management]]
*[[Continuity of Service]]
*[[Legal & Ethical]]
*[[Governance & Resources]]
*[[Expertise & Guidance]]

Digital Object Management

*[[Provenance and authenticity]]
*[[Deposit Appraisal & Collection Policy]]
*[[Preservation plan]]
*[[Quality Assurance]]
*[[Workflows]]
*[[Discovery and Identification]]
*[[Reuse]]
*[[Setting Access Conditions]]

Information Technology & Security

*[[Storage & Integrity]]
*[[Technical Infrastructure]]
*[[Security]]

= MediaWiki Glossary of Terms =
*[[Glossary of Terms]]
[[Category:Frequently Asked Questions]]

MediaWiki has been installed.

Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

= MediaWiki Getting started =

* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]

= Superseded page =
* [[ADA Self-Deposit - To Documentation Guides]]
* [[1. ADA Collection Policy Criteria Assessment]]
* [[2. Deposit Preparation]]

Main Page

2024-06-25T01:54:11Z

TGregor: /* Deposit Process Overview */

= Deposit Process Overview =
If you are interested in depositing data with the Australian Data Archive, please write an email to ada@ada.edu.au outlining the topic of your research and the nature of the data, e.g. sensitivity, type, quantity. The ADA will assess each deposit request against a set of criteria, see [[Deposit Appraisal & Collection Policy]]. Once the data has been accepted, the ADA will create a deposit shell on a secure system for the depositor to upload the data, the documentation files and enter metadata (see [[Quick Deposit Guide]] for instructions on what to upload). As part of the curation process, the ADA will view the deposit and make suggestions for changes if necessary (see [[Workflows]] for details). When the curation is complete, the depositor has the opportunity to preview the final version of the deposit on a designated review page. Once the depositor is happy with it, the deposit is published on the [https://dataverse.ada.edu.au/|dataverse: ADA dataverse] and will receive a permanent DOI. The [[Quick Deposit Guide]] provides you with easy access to all of the steps in the process. Each stage being sub-divided further to allow you to explore the content and refer to additional guidance information where required.

[[File:Deposit_graph_4.png|1200px|center]]

To get started, go to [https://docs.ada.edu.au/index.php/Quick_Deposit_Guide Quick Deposit Guide]

For assistance navigating this wiki, please refer to [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Navigation navigation help]

To return to the ADA website, please go to [https://ada.edu.au/ ADA Website]

= Australian Data Archive Overview =

*[[Background Information & Context]]

Organisational Infrastructure

*[[Mission & Scope]]
*[[Rights Management]]
*[[Continuity of Service]]
*[[Legal & Ethical]]
*[[Governance & Resources]]
*[[Expertise & Guidance]]

Digital Object Management

*[[Provenance and authenticity]]
*[[Deposit Appraisal & Collection Policy]]
*[[Preservation plan]]
*[[Quality Assurance]]
*[[Workflows]]
*[[Discovery and Identification]]
*[[Reuse]]
*[[Setting Access Conditions]]

Information Technology & Security

*[[Storage & Integrity]]
*[[Technical Infrastructure]]
*[[Security]]

= MediaWiki Glossary of Terms =
*[[Glossary of Terms]]
[[Category:Frequently Asked Questions]]

MediaWiki has been installed.

Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

= MediaWiki Getting started =

* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]

= Superseded page =
* [[ADA Self-Deposit - To Documentation Guides]]
* [[1. ADA Collection Policy Criteria Assessment]]
* [[2. Deposit Preparation]]

Main Page

2024-06-25T01:53:50Z

TGregor: /* Deposit Process Overview */

= Deposit Process Overview =
If you are interested in depositing data with the Australian Data Archive, please write an email to ada@ada.edu.au outlining the topic of your research and the nature of the data, e.g. sensitivity, type, quantity. The ADA will assess each deposit request against a set of criteria, see [[Deposit Appraisal & Collection Policy]]. Once the data has been accepted, the ADA will create a deposit shell on a secure system for the depositor to upload the data, the documentation files and enter metadata (see [[Quick Deposit Guide]] for instructions on what to upload). As part of the curation process, the ADA will view the deposit and make suggestions for changes if necessary (see [[Workflows]] for details). When the curation is complete, the depositor has the opportunity to preview the final version of the deposit on a designated review page. Once the depositor is happy with it, the deposit is published on the [https://dataverse.ada.edu.au/|dataverse: ADA dataverse] and will receive a permanent DOI. The [[Quick Deposit Guide]] provides you with easy access to all of the steps in the process. Each stage being sub-divided further to allow you to explore the content and refer to additional guidance information where required.

[[File:Deposit_graph_4.png|1200px|center]]

To get started go to [https://docs.ada.edu.au/index.php/Quick_Deposit_Guide Quick Deposit Guide]

For assistance navigating this wiki, please refer to [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Navigation navigation help]

To return to the ADA website, please go to [https://ada.edu.au/ ADA Website]

= Australian Data Archive Overview =

*[[Background Information & Context]]

Organisational Infrastructure

*[[Mission & Scope]]
*[[Rights Management]]
*[[Continuity of Service]]
*[[Legal & Ethical]]
*[[Governance & Resources]]
*[[Expertise & Guidance]]

Digital Object Management

*[[Provenance and authenticity]]
*[[Deposit Appraisal & Collection Policy]]
*[[Preservation plan]]
*[[Quality Assurance]]
*[[Workflows]]
*[[Discovery and Identification]]
*[[Reuse]]
*[[Setting Access Conditions]]

Information Technology & Security

*[[Storage & Integrity]]
*[[Technical Infrastructure]]
*[[Security]]

= MediaWiki Glossary of Terms =
*[[Glossary of Terms]]
[[Category:Frequently Asked Questions]]

MediaWiki has been installed.

Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

= MediaWiki Getting started =

* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]

= Superseded page =
* [[ADA Self-Deposit - To Documentation Guides]]
* [[1. ADA Collection Policy Criteria Assessment]]
* [[2. Deposit Preparation]]

Quick Deposit Guide

2024-06-25T01:51:20Z

TGregor: /* Step 3 - Upload files */

= Step 1 - Contact the ADA =
If you want to deposit research data with the ADA, please send an email to '''ada@ada.edu.au''' with the following information:

'''- Study Title:'''
'''- Study Abstract:'''
'''- Related Data: ''' (e.g. is the data derived from or closely related to other data, especially data already held by the ADA).
'''- Methodology and Data Description:''' (e.g. qualitative data or quantitative data, sensitive or non-sensitive, format etc. ).

See [[Deposit Appraisal & Collection Policy]] for details on what data the ADA accepts.

= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
Ensure that your data does not contain any direct or indirect identifiers. This includes, for instance, personnel information about the respondents in a survey that could lead to the identification of an individual respondent. If your not sure if your data contains identifying information, please contact the ADA for guidance.

For more information on the topic see:
*[https://docs.ada.edu.au/index.php/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]

== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.
''' Please ensure that: '''
'''- all variables have clear labels, preferably under 80 characters long, because some programs such as Stata truncate labels after 80 characters'''
'''- all values of categorical variables have clear labels, preferably under 25 characters '''
'''- there are no comma or separators in value labels as this can cause problems in CSV files '''

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]

== Data formats ==
The ADA accepts data in most formats, but if you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options. We will export all tabular data to SPSS, STATA and SAS formats, as well as CSV for distribution.

For more information see:
* [https://docs.ada.edu.au/index.php/Quality_Assurance Quality Assurance]
* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [https://docs.ada.edu.au/index.php/Preservation_plan Preservation plan]

== Documentation files ==
Please provide appropriate documentation for you data. As a minimum, you should supply the questionnaire or equivalent. Other supporting documentation such as a technical report or instructions to the data collector can be deposited as well. Related publication can be linked in the metadata.

= Step 3 - Upload files =
An ADA archivist will set up a deposit shell on the ADA Deposit Dataverse site for you. Please upload your data files and supporting documentation files to this site. Other secure file sharing solutions are possible, however, this should be discussed with the ADA first. For security reason do not send data files by email.

= Step 4 - Provide metadata =

Good metadata is essential for findability and reusability of data. Please fill in as many metadata fields as you can in the provided deposit shell (where you uploaded your data). If you are unsure about what information to provide in a given field, please contact the ADA for guidance.

The ADA uses controlled vocabulary for keywords, see [http://vocabularyserver.com/apais/ APAIS] and for the topic classification, we use [http://purl.org/au-research/vocabulary/anzsrc-for/2008/16 ANZSRC FoR code].

= Step 5 - License and Access conditions =
Before the data can be published on the ADA Dataverse, the data rights holder must sign a license agreement with the ADA. This document specifies the conditions under which the ADA can disseminate the data, see [https://docs.ada.edu.au/index.php/Rights_Management Rights Managment] for more information.

There are a number of options of access conditions for a given dataset, see [https://docs.ada.edu.au/index.php/Setting_Access_Conditions Access Conditions] for details. The ADA can advise on what access condition would suit your data best, if you are unsure.