Author(s): Herve Squividant; Tom Loree; Christophe Cudennec; Alban De Lavenne; Patrick Durand; Sylvain Grelet; Blandine Lemercier; Zahra Thomas
Linked Author(s):
Keywords: Open science; FAIR data; FAIR modeling; OGC standards; Interoperable services
Abstract: FAIR Factory is a methodological approach aimed at assessing and improving the FAIR maturity of datasets, processing tools, and environmental models using interoperable OGC standards. It targets geographic, temporal, and spatiotemporal resources published via OGC APIs with appropriate metadata and controlled vocabularies to ensure standardized, machine-readable access. Implemented on the GeoSAS spatiotemporal data infrastructure, this approach has been applied to soil and meteorological datasets and two hydrological models, all exposed via OGC services. It significantly reduces the effort required by hydrologists: preparing inputs for the TNT2 nitrogen transfer model, which previously took months, now takes only a few minutes thanks to FAIR-compliant services. The systematic deployment of these services could support an ecosystem of open and interoperable scientific services, launched by the GeoSAS infrastructure and now extending to other communities.
Year: 2026