As US Federal Agencies launch updated Public Access Plans to meet the 2022 OSTP Nelson Memo, there is increasing need for scientific data to be made publicly available in a way that is FAIR (Findable, Accessible, Interoperable, Reusable) including through the use of standard, interoperable metadata and persistent identifiers (PIDs) across the data ecosystem. This panel will present three perspectives on achieving an interoperable research data landscape. First, the NIH Generalist Repository Ecosystem Initiative (GREI) recognizes the need for data to be discoverable across repositories and not be siloed. GREI is supporting progress towards this through repository adoption of common metadata, PIDs, and best practices. Second, as a public data repository and repository infrastructure provider, Figshare is evolving to meet OSTP desirable repository characteristics, implement GREI common metadata, and support emerging PIDs and FAIR data standards. Third, the USDA leverages Figshare’s standards-compliant repository infrastructure to provide Ag Data Commons (ADC), a data repository and catalog for USDA-funded research data. ADC supports FAIR data services through high-quality metadata reviewed by curators, broad discoverability including records of data in discipline-specific repositories, and striving for FAIR data for AI/ML. Audience feedback on achieving these goals will be encouraged during the Q&A.
Wednesday February 12, 2025 10:45am - 12:00pm EST
Waterview CD
