[Shelley Stall]

Collaborative session notes: https://docs.google.com/document/d/1bCLVb06vCBSsYt_CgHMN34Vu-uQ69KA26sSD3ZQ62EY/edit?usp=sharingWelcome, objectives of the meeting  [5 minutes]

Overview of the FDMM and the current focus on Metadata and Granularity [5 minutes]

Metadata Elements and Granularity [5 minutes]

Brief review of the work intended for Data Granularity WG [5 minutes] 

General discussion (part 1) – The maturity model and how it applies to evaluating metadata. 

General discussion (part 2) – The maturity model and how it applies to the level of granularity of the data being evaluated. 

Action items and next steps

1. First group option
Metadata IG

Are you willing to hold your session at multiple times to accommodate various time zones?
Yes

Avoid conflict with the following group (1)
Data Granularity WG

Avoid conflict with the following group (3)
ESIP/RDA Earth, Space, and Environmental Sciences IG

Contact for group (email)
sstall@agu.org

Group chair serving as contact person
Shelley Stall

I declare that I have informed the chairs of all the Working / Interest groups included in this joint meeting application.
Acknowledged

Meeting objectives
The proposed session will bring together people interested in the RDA FAIR Data Maturity Model and other FAIR assessment approaches, to discuss the future development and evolution of the RDA FAIR Data Maturity Model and its relation to other FAIR initiatives. In specific, we are focused on both metadata (Metadata IG) needed to understand a dataset and the granularity (Data Granularity WG) in which datasets should be referenced as it applies to a FAIR assessment or a dataset.
This joint session is intended to develop relationships with the Metadata IG and Data Granularity WG (pending endorsement) working on the specific concerns that will inform the next version of the FAIR Data Maturity Model.

 

Please indicate the breakout slot (s) that would suit your meeting
Breakout 2, Breakout 4, Breakout 5, Breakout 8

Privacy Policy
1

Target Audience
Researchers, data service owners, funders and infrastructures from different scientific and research disciplines, the industry and public sector, who are active and/or interested in the FAIR data principles and in particular in assessment criteria and methodologies for evaluating their real-life uptake and implementation level.

 

Discussion