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Aligning International Initiatives for Promoting and Assessing FAIR Data

The Research Data Alliance (RDA) Findable, Accessible, Interoperable, Reusable (FAIR) Data Maturity Model Working Group: Aligning Initiatives for Promoting and Assessing FAIR Data.

The Research Data Alliance FAIR Data Maturity Model Working Group convened a group of experts representing national science organizations on November 19, 2020, to discuss their current initiatives to enhance the FAIRness of the science within their communities applying different approaches and the use of the FAIR Data Maturity Model as a framework for comparing results. FAIR is an acronym for a set of international principles that describe scientific products that are suitable for reuse in new scientific research. It stands for "Findable, Accessible, Interoperable, and Reusable." USGS project team includes members from American Geophysical Union and University of Tennessee as well as Southeast Region and the Office of Science Quality and Integrity.

Making USGS Data FAIR Workshop Participants
Making USGS Data FAIR Workshop participants. This hands-on workshop, was held on September 9-11, 2019 at the Fort Collins Science Center, Powell Center, Fort Collins, CO.   FAIR is an international set of principles that describes data, other digital products, and methods to promote data discovery and re-use. Applying the FAIR Data principles will improve the application of USGS data, tools, workflows, and systems; creating FAIR data will facilitate integration of USGS science by enhancing data accessibility, discovery, and (re)use.