GeoFAIR - All are Welcome!

Innovation within the scientific enterprise is maximized when researchers are supported with tools, guidance, and infrastructure, including data that are as open and FAIR as possible. In recognition of this fact, funders, institutions, and scholarly publishers are imposing increasing expectations for sharing research data and software. Researchers responding to these requirements face conflicting workflows, timing, and a myriad of data archiving choices; they are unknowingly caught in a “FAIR data crisis”. Additionally, researchers don’t yet have trust that these same archive choices could be their first stop in finding new and interesting datasets. To unleash transformative research of the future, vetted disciplinary-specific science support frameworks are needed for both archive deposition as well as discovery of new datasets. 

 

This presentation will introduce a newly funded project aimed at building a sustainable community resource for three disciplines to drive their community toward a shared vision of common research data resources, methods and tools that are grounded in Open Science and FAIR data principles. Each discipline-specific framework will coalesce existing resources and efforts, and through adoption, deliver: 1) Consolidated, vetted community resources identified in partnership with respective members; 2) Interoperable data that are machine-actionable supporting discovery, trust, and reuse; 3) A discipline-specific leadership and sustainable governance that intentionally fosters development of data management skills, Open Science, and FAIR data. Thus, this work will realize the value of Open Science practices by putting community-vetted resources at the heart of where researchers share their research and connect to their colleagues - society communities and meetings.