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= 1. Assessment for Suitability of Deposit =
= 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]]).   
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]]).   


   
   
= 2. Upload of Data and Documentation =
= Deposit of Data and Documentation =
 
== 2.1 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 are isolated from one another, with only the Production Dataverse, the third instance, publicly accessible.
 
== 2.2 Data upload ==
 
To the Deposit Dataverse, Data Owner (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. 
 
== 2.3 Metadata ==
 
   
   
=  3. Data Curation Process =
The depositing data workflow is documented and available to prospective depositors as a “quick deposit guide” [5].  
From here, 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.  


   
When a depositor contacts the ADA, the proposed deposit is assessed by the ADA for suitability (see R08 Deposit & Appraisal). Once the deposit has been provisionally accepted, an ADA archivist will set up a deposit shell on the ADA Deposit Dataverse instance. The ADA archival workflow is managed across three separate Dataverse installations. See R14 Storage & Integrity on how and where data is stored.  


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.   
Depositors are instructed to upload all data and supporting documentation files to their Deposit Dataverse. The ADA archivist will prompt the depositor to complete the DDI metadata fields on the deposit shell. The archivist will correspond with the depositor if further information is needed to create complete documentation for their data (See requirements described in R10 Qualty Assurance).   


= Data Processing =
= 4. Review of Data and Metadata =
When the deposit shell is created using ADA’s ADAPT tool (described in section R07), each deposit is assigned a unique six-digit ADA Identification (ADAID) number. ADAPT will copy the deposited files to an archive directory identified by the same unique ADAID number as the Submission Information Package (SIP; see R07). Within the SIP, the initial draft deposit remains unchanged so that a complete end-to-end audit trail can be always maintained. The archivists generate a copy of the data to update the SIP material as required. Archival and working dircetories are accessed via a Remote Desktop Service (RDS) that is managed by the NCI (see R14 on Storage and Integrity).  
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.


Archivists curate the data and documentation as agreed with the depositor. The level of curation may depend on the type of data (e.g., quantitative or qualitative), the perceived value of the data to the designated community, its sensitivity, or other factors as determined in consultation with the depositor. The archivist will check for disclosure risk and liaise with the depositor about how best to mitigate any risks identified. Data will also be checked for re-usability, including appropriate metadata and consistent mapping to supporting documentation such as data dictionary or user guide. Proposed changes to the data are detailed in a Processing Report sent to the Data Owner’s for approval prior to the changes being made. All agreed changes are recorded in the curation syntax as part of the AIP.   
= 5. Publication =
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.  
 
   


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 or metadata, result in a new version release (i.e. Version 0.0 becomes Version 1.0), whilst a Minor change such as the addition of Supporting Documentation results in a sub-version uplift (i.e. from Version 0.0 to Version 0.1).  
= Review and Publication =
Once all agreed changes to the data and metadata have been made, the archivist will set up a preview on the Test Dataverse instance that reflects the intended final production version of both the metadata and files. Once the data owner/depositor has approved the preview, it is duplicated on the Production Dataverse instance using the ADAPT tool. Here the data is published, searchable, and available for access request. DDI metadata is always publicly accessible, as is all project documentation files (unless depositors have specified otherwise). Data access is typically restricted and can be downloaded subject to data access criteria [8], including at minimum an ADA account with a verified institutional email and sufficient responses to any “guestbook” questions (subject to the ADA License Agreement and Terms of Access; see section R02 for details).  Access criteria are recorded on ADA’s internal wiki (not publicly available) for reference by access management staff.


 
Changes or updates to the data files of an already published deposit are handled via the above deposit and processing workflows. Changes are automatically version controlled in Dataverse. Major changes, that is a change to the data, result in a full versioning (i.e. Version 1.0 becomes Version 2.0), while a minor change such as the addition of metadata results in a sub-versioning (i.e. from Version 1.0 to Version 1.1).


As a rule, all Quantitative deposits are processed at Level C, Enhanced curation, or Level D, data level curation. As a minimum a few standard data checks are undertaken and full DDI compliant documentation is created. Data files are then converted to, and made available for download subject to access conditions, in four common formats (SPSS, SAS, Stata and CSV are the standard outputs).
= Preservation =
At publication, preservation versions of the DDI metadata are exported using Dataverse export functionality. The metadata is stored in a preservation sub-directory with that deposit’s ADAID in the archive directory, along with a copy of the published SPSS data file(s) and SPSS syntax. The Preservation Plan [9] outlines how ADA manages long term preservation of data and metadata for reuse.  


= Adjusting Workflows, Decision Handling, and Change Management =
The ADA Archive Team meets weekly with the ADA Director to discuss workflows and decisions as required. These meetings are minuted and decisions documented on the ADA internal wiki.


For qualitative data, the ADA archivist will check for privacy risks and liase with the depositor about how best to mitigate them. 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. 
=References =


[34] Workflows – (https://docs.ada.edu.au/index.php/Workflows)


[9] Preservation Plan – (https://docs.ada.edu.au/index.php/Preservation_plan)


The combination of the data (in a variety of formats), metadata and supporting documentation collectively forms the Dissemination Information Package (DIP) and is accessible through the ADA Production Dataverse site. 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).
[5] Deposit guidelines – (https://docs.ada.edu.au/index.php/Quick_Deposit_Guide)

Latest revision as of 00:26, 12 September 2024

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).


Deposit of Data and Documentation

The depositing data workflow is documented and available to prospective depositors as a “quick deposit guide” [5].

When a depositor contacts the ADA, the proposed deposit is assessed by the ADA for suitability (see R08 Deposit & Appraisal). Once the deposit has been provisionally accepted, an ADA archivist will set up a deposit shell on the ADA Deposit Dataverse instance. The ADA archival workflow is managed across three separate Dataverse installations. See R14 Storage & Integrity on how and where data is stored.

Depositors are instructed to upload all data and supporting documentation files to their Deposit Dataverse. The ADA archivist will prompt the depositor to complete the DDI metadata fields on the deposit shell. The archivist will correspond with the depositor if further information is needed to create complete documentation for their data (See requirements described in R10 Qualty Assurance).

Data Processing

When the deposit shell is created using ADA’s ADAPT tool (described in section R07), each deposit is assigned a unique six-digit ADA Identification (ADAID) number. ADAPT will copy the deposited files to an archive directory identified by the same unique ADAID number as the Submission Information Package (SIP; see R07). Within the SIP, the initial draft deposit remains unchanged so that a complete end-to-end audit trail can be always maintained. The archivists generate a copy of the data to update the SIP material as required. Archival and working dircetories are accessed via a Remote Desktop Service (RDS) that is managed by the NCI (see R14 on Storage and Integrity).

Archivists curate the data and documentation as agreed with the depositor. The level of curation may depend on the type of data (e.g., quantitative or qualitative), the perceived value of the data to the designated community, its sensitivity, or other factors as determined in consultation with the depositor. The archivist will check for disclosure risk and liaise with the depositor about how best to mitigate any risks identified. Data will also be checked for re-usability, including appropriate metadata and consistent mapping to supporting documentation such as data dictionary or user guide. Proposed changes to the data are detailed in a Processing Report sent to the Data Owner’s for approval prior to the changes being made. All agreed changes are recorded in the curation syntax as part of the AIP.

Review and Publication

Once all agreed changes to the data and metadata have been made, the archivist will set up a preview on the Test Dataverse instance that reflects the intended final production version of both the metadata and files. Once the data owner/depositor has approved the preview, it is duplicated on the Production Dataverse instance using the ADAPT tool. Here the data is published, searchable, and available for access request. DDI metadata is always publicly accessible, as is all project documentation files (unless depositors have specified otherwise). Data access is typically restricted and can be downloaded subject to data access criteria [8], including at minimum an ADA account with a verified institutional email and sufficient responses to any “guestbook” questions (subject to the ADA License Agreement and Terms of Access; see section R02 for details). Access criteria are recorded on ADA’s internal wiki (not publicly available) for reference by access management staff.

Changes or updates to the data files of an already published deposit are handled via the above deposit and processing workflows. Changes are automatically version controlled in Dataverse. Major changes, that is a change to the data, result in a full versioning (i.e. Version 1.0 becomes Version 2.0), while a minor change such as the addition of metadata results in a sub-versioning (i.e. from Version 1.0 to Version 1.1).

Preservation

At publication, preservation versions of the DDI metadata are exported using Dataverse export functionality. The metadata is stored in a preservation sub-directory with that deposit’s ADAID in the archive directory, along with a copy of the published SPSS data file(s) and SPSS syntax. The Preservation Plan [9] outlines how ADA manages long term preservation of data and metadata for reuse.

Adjusting Workflows, Decision Handling, and Change Management

The ADA Archive Team meets weekly with the ADA Director to discuss workflows and decisions as required. These meetings are minuted and decisions documented on the ADA internal wiki.

References

[34] Workflows – (https://docs.ada.edu.au/index.php/Workflows)

[9] Preservation Plan – (https://docs.ada.edu.au/index.php/Preservation_plan)

[5] Deposit guidelines – (https://docs.ada.edu.au/index.php/Quick_Deposit_Guide)

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