Quality Assurance: Difference between revisions

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Created page with "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 varia..."
 
 
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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. The ADA archivist will propose changes to the depositor. 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.  
= Data and Metadata Assessment =
TThe ADA expects a data deposit to meet quality requirements specified in the ADA deposit guidelines [5]. All deposits are assessed for quality assurance by an ADA archivist. This assessment includes both content and form. On the content side, the archivist will examine the data for presence of direct and indirect identifiers. On the form side, the archivist will confirm unambiguous, clear labels for all variables and run spell checks and basic metadata consistency and completeness checks. The archivist will then propose any corresponding changes to the depositor in a formal report. If the depositor does not agree to changes the ADA archivist deems necessary, a deposit may be rejected (see R08 Deposit & Appraisal). If approved by the depositor, the archivist will implement the agreed changes and generate publication-ready versions of the data. All deposits are subject to data-level curation (see R00 Background, part 5).


Accompanying documents are uploaded to ensure comprehension of the study and the data sets. If no such documentation accompanies a study the archivist will liaise with the depositor to ensure all necessary value labels and codes are defined, that metadata fields can be completed in the DDI and that the data is understandable to other researchers.  
Accompanying documentation should be submitted to ensure comprehension of the study and the data. The archivist will liaise with the depositor to ensure all necessary value labels and codes are defined, that DDI-Codebook metadata fields are completed on Dataverse, and that the data is maximally findable and reusable.  It is not a requirement that a depositor completes all DDI fields, but it is imperative to meet a minimum requirement for reuse as determined by the ADA. The ADA also encourages depositors to include references for related publications and other digital resources in their project metadata on Dataverse.


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. This minimum requirement is not published in the public domain but is referred to as DDI lite within the archive.
= 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.


Related publication and project websites can be linked in Dataverse to give context to a dataset.  
= References =
[5] Deposit guidelines – (https://docs.ada.edu.au/index.php/Quick_Deposit_Guide)


Apart from that, the ADA uses APAIS (http://vocabularyserver.com/apais/) vocabulary for keywords and classification in the Dataverse catalogue to improve findability.
[33] Quality Assurance – (https://docs.ada.edu.au/index.php/Quality_Assurance)

Latest revision as of 02:26, 14 September 2024

Data and Metadata Assessment

TThe ADA expects a data deposit to meet quality requirements specified in the ADA deposit guidelines [5]. All deposits are assessed for quality assurance by an ADA archivist. This assessment includes both content and form. On the content side, the archivist will examine the data for presence of direct and indirect identifiers. On the form side, the archivist will confirm unambiguous, clear labels for all variables and run spell checks and basic metadata consistency and completeness checks. The archivist will then propose any corresponding changes to the depositor in a formal report. If the depositor does not agree to changes the ADA archivist deems necessary, a deposit may be rejected (see R08 Deposit & Appraisal). If approved by the depositor, the archivist will implement the agreed changes and generate publication-ready versions of the data. All deposits are subject to data-level curation (see R00 Background, part 5).

Accompanying documentation should be submitted to ensure comprehension of the study and the data. The archivist will liaise with the depositor to ensure all necessary value labels and codes are defined, that DDI-Codebook metadata fields are completed on Dataverse, and that the data is maximally findable and reusable. It is not a requirement that a depositor completes all DDI fields, but it is imperative to meet a minimum requirement for reuse as determined by the ADA. The ADA also encourages depositors to include references for related publications and other digital resources in their project metadata on Dataverse.

Vocabulary & Classification

The ADA uses APAIS vocabulary for keywords in the Dataverse catalogue, as well as ANZSRC FoR codes for topic classification.

References

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

[33] Quality Assurance – (https://docs.ada.edu.au/index.php/Quality_Assurance)

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