Quick Deposit Guide: Difference between revisions

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  '''- Study Title:'''
  '''- Study Title:'''
  '''- Study Abstract:'''
  '''- Study Year:'''
  '''- Related Data: ''' (e.g. is the data derived from or closely related to other data, especially data already held by the ADA).
  '''- Department or Research group: '''
  '''- Methodology and Data Description:''' (e.g. qualitative data or quantitative data, sensitive or non-sensitive, format etc. ).
'''- [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.
 
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 =
= Step 2 - Prepare data files and documentation =
== De-identification of sensitive data ==
== 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.
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:
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/Legal_&_Ethical Legal & Ethical]
*[https://docs.ada.edu.au/index.php/De-Identification De-Identification]
*[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]  
*[https://docs.ada.edu.au/index.php/The_Privacy_Act_1988 The Privacy Act 1988]


== Reusability of data ==
== Reusability of data ==
Data deposited at the ADA should be understandable and reusable by a secondary user.  
Data deposited at the ADA should be understandable and reusable by a secondary user.  
  ''' Please ensure that: '''
  ''' Please ensure that: '''
  '''- all variables have clear labels, preferably under 80 characters long, because some programs such as Stata truncate labels after 80 characters'''
  '''- 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 values of categorical variables have clear labels, preferably under 25 characters '''
'''- 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.'''
  '''- there are no comma or separators in value labels as this can cause problems in CSV files '''
  '''- 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:
For more information see:
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* [https://docs.ada.edu.au/index.php/Workflows Workflows]
* [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.


== Data formats ==
If you are using an unusual format (e.g. a database set up), please let us know in advance and we can discuss options.
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:
For more information see:
Line 40: Line 44:


== Documentation files ==
== 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.
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 =
= 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.
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 =
= 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.  
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.


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].
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 =
= 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.  
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.  


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.
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.

Latest revision as of 01:05, 21 August 2024

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: 
- 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:

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:

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:

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 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 Access Conditions for details. The ADA can advise on what access condition would suit your data.