Fairscape Pydantic Models
Abstract
A Python package providing Pydantic models for FAIRSCAPE metadata standards, enabling validated representation of research data, software, and computational workflows. Core Features: Metadata Models: Comprehensive models for Dataset, Software, MLModel, Computation, Experiment, Sample, and more RO-Crate Support: Full RO-Crate v1.2 metadata specification implementation Format Conversion: Built-in converters for Datasheet, Croissant, D4D, and AIReady formats Schema Generation: Automatic JSON schema and TypeScript type generation Standards Compliant: Based on Schema.org with extensions for EVI, RAI, and PROV vocabularies
Fields of Study & Subjects
Research Data Management Practices
Scientific Computing and Data Management
Semantic Web and Ontologies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026