Enhancing FAIRness of Spatiotemporal Data through Semantics: A Case Study with EarthPortal and EaSy Data
Résumé
The study of the Earth system involves many disciplines working together to address complex issues such as climate change. In France, Data Terra, the national research infrastructure related to Earth System, provides data discovery, access and dissemination services to support researchers in their work. Within this framework, the EaSy Data repository facilitates the sharing and enhancement of research data, while EarthPortal, a catalogue of FAIR semantic artefacts, promotes the use and dissemination of controlled vocabularies and ontologies. The adoption of the FAIR principles has become widespread among Earth system data managers, with several initiatives focused on advancing these principles. Interoperability, in particular, remains a critical yet challenging aspect, essential for ensuring that data can be effectively combined, interpreted, and used by both humans and machines. To fulfill the FAIR criteria for interoperability, it is imperative that data and metadata employ controlled vocabularies and structured representation models that are consistent with these principles.
This article demonstrates how the integration of EarthPortal within the EaSy Data repository, significantly improves data interoperability and optimizes the user experience.
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