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:

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.

• Revised use Cases V1.3
• Klump, J., Pampel, H., Rothfritz, L., & Strecker, D. (2024). Recommendations on Data Versioning (p. 25). Berlin, Germany: Humboldt-Universität zu Berlin. Retrieved from https://doi.org/10.5281/zenodo.1374387
• 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

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
• P22 Virtual (May 2024): Translating the Data Versioning Principles into Machine Actionable Recommendations
• P23 Costa Rica (November 2024): What do we actually mean when we talk about data versioning?

This group started a BoF session at the 8th Plenary (Sept. 2016), discussing the need for a systematic way to refer to the exact version of a data set or data product that was used to underpin the research findings or was used to generate higher-level data products, including who developed and also funded it. The discussion resulted in the formation of an RDA Interest Group on Data Versioning in 2017.

The Data Versioning Working Group was formed In 2018 and first met at P12 in Gaborone. Its focus was on assessing current practices by compiling 39 use cases of data versioning across 33 organisations globally. In January 2020, the WG produced a white paper documenting these use cases and recommended practices. The WG delineated 6 high-level principles, which provided a high-level framework for guiding the consistent practice of data versioning. It can also serve as guidance for data centres or data providers when setting up their own data revision and version protocols and procedures. The proposed new interest group plans to contribute the use cases and recommended data versioning practices to other groups in RDA, W3C, and other emerging activities in this field to further the adoption of the outcomes.

The WG was transitioned to this IG for further discussion on the data versioning principles (including new use cases) and aiming to develop actionable guidelines for implementing the data versioning principles.