Data Granularity Guidance – Going Once, Going Twice,…
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Discussion
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Collaborative session notes: https://docs.google.com/document/d/1xQ9cn_qz9mgDwSgtKAq_nXZHIfIY3IlJTRPL…Introduction – contextualization and motivation
Methodology – how did we reach our conclusion
Survey with Re3Data
Use Case collection and scheme
Constraints collection
Present draft outputs: guidance paper & use cases
Interactive activities for participants to:
Provide feedback on draft outputs
Discuss potential adoption cases
Conclusion/next steps
Additional links to informative material
Draft WG outputs will be provided when available
Podcast about the WG: https://www.youtube.com/watch?v=jbKOYacCb9A&ab_channel=RDAUSRegionAvoid conflict with the following group (1)
Data Discovery Paradigms IGBrief introduction describing the activities and scope of the group
The RDA Data Granularity Working Group (WG) addresses issues of data granularity in data discovery, access, interoperability, analysis, citation, and more. More efficient and effective reuse of data requires that users can find and access data at various levels of granularity. The WG explores key questions and collects and shares valuable information for how to best support data granularity, providing guidance to help data professionals to determine the best level of granularity for user discovery, access, interoperability and citability. The activities and final recommendations of the Data Granularity WG build upon and complement existing and ongoing work of several RDA Working and Interest Groups that touch upon the subject of data granularity. The final deliverable for the WG is a set of collected use cases and a guidance document of data granularity approaches for prioritized use cases, including terminology, methods to evaluate approaches, and a summary of community feedback.Group chair serving as contact person
Brigitte MathiakMeeting objectives
Contextualize the big picture and scope of data granularity
Present draft outputs: guidance paper & use cases
Gain feedback on draft outputs
Recruit early adopters
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