FAIR for US: Briefing on Community Input and Workshop Findings
Channel: CNI: Coalition for Networked Information
Date: 17/04/2022

Melissa Cragin, University of California, San Diego

This session will report on a very recent workshop, “FAIR for US,” which was designed to gather input from across the U.S. research community on near-term achievable aims for the uptake of the Findability, Accessibility, Interoperability, and Reuse (FAIR) principles toward the production of new knowledge. Implementation of the FAIR Data Principles is an aspirational aim for funders, research managers, and the broader scientific community, particularly where uptake would improve reuse of data for scientific discovery. Funded by the National Science Foundation and the San Diego Supercomputer Center, a primary aim of the workshop is to produce a scoping report to inform prospective, impactful community-led data initiatives. Event organizers recruited speakers and participants from the academic, government, and private sectors to conceptualize a FAIR capacity and implementation agenda. During the workshop participants considered different models and successful outcomes of community-led efforts and heard from international partners leading data initiatives. This project briefing will include presentation of the final structure of the meeting as well as a description of the plenary contributions and initial findings.
https://docs.google.com/document/d/1jFpqI-dKEKfU7jV_CA6jazZPFNmQUHihBCkr9t08lU4/edit?usp=sharing
 
Learn more: https://www.cni.org/topics/digital-curation/fair-for-us
 
Coalition for Networked Information (CNI)
Presented at Spring 2022 Membership Meeting
Virtual: March 21-22, 2022
In-Person: March 28-29, 2022
 
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