FAIR Data Guidelines and Measures - Mapping best practices for climate services data output to GO-FAIR metrics

The reliability and impact of climate services depend on making datasets FAIR: Findable, Accessible, Interoperable, and Reusable. Achieving this requires machine-accessible data, supported by complete metadata based on standards, and adoption of best practices early in the data life cycle. A strong datamanagement system at the source ensures FAIRness from initial use to international reuse. Improving FAIRness in climate services data output involves aligning WMO requirements with existing practices such as using standard (meta)data formats, developing new vocabularies, and documenting services, software, and settings.

The GO-FAIR principles serve as metrics to evaluate FAIRness. The process is viewed as a collective “movement” where stakeholders agree on solutions, especially for interoperability and reusability. For the Climateurope2 community, existing best practices from organizations like WMO, GFCS, OGC, and GEO have been reviewed and mapped to GO-FAIR metrics. This mapping highlights where practices align, as well as challenges and gaps where further development is needed to strengthen FAIRness in climate services data.