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Group Session June 24, 2019

Data Versioning WG: Final Recommendations and next steps

Plenary: RDA's 14th Plenary – Helsinki, Finland

Submitted by
Ari Asmi

Meeting objectives

Presenting the document of the Data Versioning Working Group, and considering the next steps, potential use cases, and need for a  maintenance group.

Meeting agenda

Collaborative session notes: https://docs.google.com/document/d/1BrV1OHNXm4aW-5tKwfXXeVFeQDRp0rJ938AYTrc6Z48/edit?usp=sharing 

 

  • Presentation of the Data Versioning WG report and recommendations

  • Use case presentations

  • Discussion on the next steps – do we need more use cases? Apply for “maintenance mode” or not?  Should this work be continued with another WG?

Target audience

Data curators, Data facility managers / data policy managers. They should read the prepared document and consider how it matches their own needs.

 

Additional links to informative material

Draft of white paper on data versioning: https://docs.google.com/document/d/1bINRNA2PtumnnNWoPnvzMoCYci6S5HjcX8LG…

 

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Short Group Status

The group has worked on the principles of data versioning practices. The group is identifying the kinds of methods that have been adopted (or became ad hoc practices) and is generating the background theoretical framework needed for versioning considerations. The group seeks to answer the questions, “What is a new version?” and “How should it be documented?”, etc.

The group has prepared a report, based on documented use cases, and developed a set of basic considerations for data versioning:

  • Management: Recognise identification and tracking of data revisions and data releases as an important component of data management

    • Establish a procedure and policy for consistent management of data revisions and releases.

  • Identification: Be clear about which dataset is to be identified

    • Identify data revisions, consider issuing a new persistent identifier per revision and release

  • Communication: Communicate the significance of the change to the designated user community of this dataset.

    • Concepts such as Semantic Versioning describe the significance of a version change

  • Provenance: Track changes and record provenance information between revisions

    • Provenance information describes the changes that have been made to each newer revision. Display provenance information, attribution and credit on landing pages of each publically released dataset.

  • Citation: Cite a specific data release

    • For each released dataset, have a clear recommendation, including a release number, on how to cite a dataset.

Avoid conflict with the following groups

Repository Platforms for Research Data IG
RDA/CODATA Legal Interoperability IG
RDA/WDS Certification of Digital Repositories IG