ALIGNING NASA EARTH SCIENCE DATA STEWARDSHIP WITH FAIR PRINCIPLES: OUTCOMES, RECOMMENDATIONS, AND FUTURE DIRECTIONS
ABSTRACT The FAIR Principles—Findable, Accessible, Interoperable, and Reusable—offer a widely accepted framework for improving the sharing and reuse of digital scientific data by both human and machine users. Following these principles is critical for effective scientific data stewardship, broader scientific collaboration, and compliance with federal and agency data policies. This paper, based on the work of NASA’s Open, Free, and FAIR Working Group (O’FAIR WG) under the Earth Science Data Systems Program, presents an overview of how FAIR Principles are being applied within NASA’s Earth science data landscape. It highlights ongoing progress and challenges, identifies FAIR-enabling resources, and offers recommendations and strategic actions to enhance the FAIRness of NASA-funded open and free Earth science data products. The FAIR-enabling resources identified underscore the vital role of NASA's existing enterprise processes, standards, tools, and infrastructures in supporting FAIR implementation. Our findings show strong performance in making NASA Earth science data findable and accessible. However, further work is needed—especially in enhancing interoperability, so that different systems and tools can better understand and exchange data. This is especially important for enabling machine-driven discovery and analysis. We emphasize the importance of a balanced strategy that combines a centralized, top-down approach—focused on building enterprise-level capabilities and processes—with a decentralized, bottom-up approach driven by discipline-specific needs and community practices. We advocate for coordinated efforts to enhance (meta)data interoperability to facilitate seamless data and information sharing and exchange of Earth science data both within NASA and across other agencies managing Earth science data. DISCLAIMER The work was carried out across multiple United States government-funded institutions under contracts with NASA (noted in Funding Information). Government sponsorship is acknowledged. However, the opinions expressed in this paper are solely those of the authors and do not constitute or imply the endorsement by NASA and the affiliated institutions. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
Institutions
- Oak Ridge National Laboratory (US)
- Langley Research Center (US)
- Oracle (United States) (US)
- Glenn Research Center (US)
- University of Alaska System (US)
- United States Satellite Laboratory (US)
- National Aeronautics and Space Administration (US)
- Science Systems and Applications (United States) (US)
- IAC (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-05
- DOI
- https://doi.org/10.5281/zenodo.15634791
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00