FAIRmodels is a platform that makes AI/ML models findable, accessible, interoperable, and reusable by providing standardized metadata, packaging, validation, and search capabilities. It offers a Model Metadata Repository with rich, machine- and human-readable JSON-LD metadata (built around Model Cards with healthcare-specific fields), a Model Package System for containerized deployment via Docker with a consistent REST API, and FAIVOR for local model validation. The platform includes a JSON-LD/SPARQL search interface, uses CEDAR templates for structured metadata, emphasizes healthcare and clinical decision support, and is developed by the Brightlands Institute for Smart Society at Maastricht University.
AI named FAIRmodels from February 2026 to March 2026.