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Group Session June 10, 2023

Revising the Versioning Principles: The Road to Actionable Recommendations

Plenary: RDA 21st Plenary Meeting [part of International Data Week 2023], Salzburg, Austria

Submitted by
Mingfang Wu
Recording

Meeting objectives

 

Click here for the collaborative session notes

 

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 to the Data Science Journal. Feedbacks from presentations and communications of the data versioning principles indicate that the research data community desires to have actionable recommendations for different stakeholders on implementing the principles, and constructive feedback from a very engagement session at P20 raised the need to revisit the data versioning principles. 

The objectives of the session include:

  • To revisit the data versioning principles

  • To discuss and collect more use cases focussing on where the data versioning would help data citation and attribution

  • To develop a concrete plan for actionable recommendations

Meeting presenters

Co-chairs + invited speakers introducing their use cases

Meeting agenda

  • Introduce  the group (10 minutes)
     

  • Review of the data versioning principles – FRBR model versus BiBFRAME model ?  (10 minutes)
     

  • Update from participants about new use cases or has anything changed? (20mins) (Please read the data versioning use cases collection before the session.)

    • Data versioning stories from the long tail (Kirsten Elger)

    • Using the BIBFRAME 2.0 model to show relationships between source data versions and derivative data products: an example from the 2030 Geophysics Project (Lesley Wyborn)

  •  Group discussion how the  guidelines should be framed to better support the Principles, e.g. by introducing personas representing different communities interacting with the data. (45 mins)
     

  • Wrap up (5 mins)

Target audience

Data curators, Data facility managers, data policy managers, data users, data developers, data publishers 

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: http://doi.org/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

 

Slides from previou plenary sessions: 

 

Short Group Status

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 reach 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 is a combination of taking the principles developed by the former Versioning WG, combined with the issues raised by the VP15  BoF. The proposed activities of the newly formed IG are:

  1. Forum for group members to discuss issues related to data versioning

  2. Collecting new use cases and applying the principles to a selection of use cases

  3. Developing a set of actionable recommendations by applying the published data versioning principles;

  4. Promoting the adoption of data versioning principles; and 

  5. Determining how they can be applied to address the increasing number of questions of attribution, authority, and ethics arising from data publication and sharing.

Applicable Pathways

Data Lifecycles - Versioning, Provenance, Citation, and Reward

Avoid conflict with the following groups

ESIP/RDA Earth, Space, and Environmental Sciences IG
Chemistry Research Data IG