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Translating the Data Versioning Principles into Machine Actionable Recommendations

  • Creator
    Discussion
  • #133885

    Jens Klump
    Participant

    0-10 Minutes (10 minutes): Welcome and introduction (Mingfang Wu, ARDC).
    10-20 MInutes (10 minutes) Refresher on the data versioning principles and why we are turning these into actionable recommendations- (Jens Klump, CSIRO).
    20-45 (25 Minutes) Working on a Miro board – there will be a page for each principle, and participants will be asked to work on those principles they know best and suggest actionable recommendations. (Mingfang Wu, ARDC).
    45-80 (35 minutes) Group Discussion: Consolidation and review of answers provided for each principle. Is there an overlap? (Jens Klump, CSIRO).
    80-90 Minutes (10 Minutes): Wrap up including discussion on::

    A call for a new co-chair
    Should we take our proposed actionable recommendations to other RDA groups, including Data Granularity Working Group, Complex Citations WG, FAIR DIgital Objects WG, and other RDA Groups (Lesley Wyborn, ANU)?

     

    Additional links to informative material
    Klump, J., Wyborn, L., Wu, M., Martin, J., Downs, R.R. and Asmi, A., 2021. Versioning Data Is About More than Revisions: A Conceptual Framework and Proposed Principles. Data Science Journal, 20(1), p.12. DOI: doi:10.5334/dsj-2021-012
    Klump, J., Wyborn, L., Downs, R., Asmi, A., Wu, M., Ryder, G., & Martin, J. (2020). Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group. Version 1.1. Research Data Alliance. doi:10.15497/RDA00041
    Meeting notes and slides from previous plenary sessions:

    P8 Denver (Sept 2016): BOF Data Versioning: Is there a need to develop agreed best practice for versioning of Dynamic Data Sets?  
    P9 Barcelona (April 2017): Constituting the Data Versioning IG
    P10 Montreal (Sept 2017): Data Versioning IG
    P11 Berlin (March 2018): Data Versioning WG first meeting
    P12 Gaborone (Nov 2018): Data Versioning WG working meeting
    P13 Philadelphia (April 2019): Data Versioning WG draft report and recommendations
    P14 Helsinki (October 2019): Data Versioning WG final report and recommendations, preparation for TAB adoption
    VP15 Melbourne (March 2020): Data Versioning WG: Final Report and Next Steps
    VP16 Costa Rica (November 2020): Transition to Data Versioning IG to promote adoption and work on emerging topics in data versioning
    VP17 Edinburgh (April 2021): Advancing Data Versioning: From Principles to Actionable Recommendations
    VP18 Virtual (October 2021: Advancing Data Versioning: From Principles to Actionable Recommendations
    VP19 Seoul (June 2022): Roadmap to develop actionable guidelines from the data versioning principles
    P20 (Hybrid, March, 2023): Develop actionable guidelines from the data versioning principles
    P21 Salzburg (October 2023): Revising the Versioning Principles: The Road to Actionable Recommendations

    Applicable Pathways
    FAIR, CARE, TRUST – Principles, Data Lifecycles – Versioning, Provenance, and Reward

    Avoid conflict with the following group (1)
    Physical Samples and Collections in the Research Data Ecosystem IG

    Brief introduction describing the activities and scope of the group
    The former RDA Data Versioning Working Group (2018-2021) worked on collating and identifying methods that had already been adopted or became ad hoc practices for data versioning. Based on this analysis, the group formulated a set of principles to describe data versioning use cases and practices. At a related BoF at the RDA VP15 in 2020, a community review and discussions showed that the application of the data versioning principles reached further than data management and had implications for attribution, authority, and ethics of data publication and sharing.
    The new Data Versioning IG was approved in July 2021 and it continues the work of the WG by taking the principles developed, The proposed activities of the newly formed IG are:

    Forum for group members to discuss issues related to data versioning;
    Collecting new use cases and applying the principles to a selection of use cases;
    Developing a set of actionable recommendations by applying the published data versioning principles;
    Promoting the adoption of data versioning principles; and
    Determining how they can be applied to address the increasing number of questions of attribution, authority, and ethics arising from data publication and sharing.

    Group chair serving as contact person
    Jens Klump

    I Understand a Chair Must be Present at the Event to Hold the Breakout Session
    Yes

    Meeting objectives
    The former RDA Data Versioning Working Group has delivered this RDA supporting output: Versioning data is about more than revisions: A Conceptual framework and proposed principles in 2021, and a concise version of the output was published in the Data Science Journal. Feedback indicated that the research data community desires to have actionable recommendations for different stakeholders on implementing the principles.
    The main objective of this session is to develop a concrete plan for actionable recommendations for each of the versioning principles by turning each one of them into questions the audience can answer:

    What constitutes a new release of a dataset, and how should it be identified?
    What is the significance of the change from one version to the next?
    Do changes in the metadata change the version of the associated dataset?
    What needs to be included in a versioning history?
    How should a version be named or numbered?
    What versioning information should be included in a data citation?

    In this session we propose to have a Miro board with participants being able to enter their answers and their current practices to each of these questions. In feedback from P21, as participants specifically emphasised the importance of improving machine accessibility to versions and linkages between versions, we will also ask participants to consider this in their answers

    Please indicate at least (3) three breakout slots that would suit your meeting.
    Breakout 1, Breakout 4, Breakout 7

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