FAIRSCAPE is a FAIRness and AI-readiness service providing deep provenance graphs and data dictionaries with data element validation on uploaded data, software, and computations, with special reference to biomedical datasets. FAIRSCAPE provenance graphs are represented using the Evidence Graph Ontology, EVI, an OWL2 representation derived from W3C PROV and specialized for biomedical research data. The FAIRSCAPE server is a cloud-ready environment that processes RO-Crate data+metadata packages produced by the FAIRSCAPE CLI- and GUI-based clients, registers them with persistent IDs, decomposes and registers their components, computes provenance graph entailments of each component, and integrates the provenance graphs. FAIRSCAPE server provides a web-based GUI for inspecting metadata, visualizing provenance graphs, and obtaining downloads packaged as RO-Crates. FAIRSCAPE is supported by the U.S. National Institutes of Health Bridge2AI program under grants OT2OD032742 [Bridge2AI: Cell Maps for AI (CM4AI) Data Generation Project] and OT2OD032701 [Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI], and by the Frederick Thomas Fund of the University of Virginia.

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