Development and governance of FAIR thresholds for a data federation

Continuing from last week’s theme of agriculture data management, this week’s journal article from Wong et al. examines the need for consistent “minimum thresholds” for FAIR (findable, accessible, interoperable, and re-usable) data in the agricultural research community. They discuss this in terms of their “community-governed federation approach” called AgReFed (Agricultural Research Federation), which has been piloted since 2018. Using a variety of datasets and research use cases, the authors go on to discuss their methodology for developing and testing FAIR thresholds in their pilot community, as well their governance and implementation. The authors close out their work by discussing the benefits of the approach to founding partners, including “being an exemplar of FAIR best practice at the institutional level, making access and re-use easier for end-users, and being able to combine data types for research insights.” Data providers “benefited from metadata guidance through education resources, library, and licensing support.” However, the authors note that expansion of such a framework to other coops, corporations, etc. understandably may require additional incentivization.

Please to read the entire article.