FAIRsharing

FAIRsharing is a curated, cross-disciplinary educational resource that serves as a cornerstone for the global research ecosystem as of 2026. It provides a comprehensive registry of data and metadata standards, inter-related to the databases that implement them and the data policies from funders, journals, and societies that mandate their use. Architecturally, it utilizes a sophisticated graph-based metadata model that allows for deep traceability between disparate research entities. Its primary function is to guide users to the most appropriate resources based on their specific domain requirements, ensuring that digital objects remain Findable, Accessible, Interoperable, and Reusable (FAIR). The platform acts as a critical intermediary in the 'FAIR-by-design' workflow, offering machine-readable descriptions via JSON-LD and a robust REST API. By mapping the complex relationships between standards (like Dublin Core or Darwin Core), databases (such as GenBank or Dryad), and policies (from NIH to Nature), FAIRsharing enables automated compliance checks and data management planning at scale for institutional and governmental research bodies.