# FAIR Data Principles Compliance ## PRISM FAIR Data Policy This document outlines how the prism project implements the FAIR (Findable, Accessible, Interoperable, Reusable) data principles for psychological research data management. ### F - FINDABLE #### Implemented - Rich Metadata: Hierarchical JSON schemas with comprehensive descriptive fields - Unique Identifiers: Schema versioning with persistent URLs (`$id` fields) - Standardized Naming: BIDS-inspired file naming conventions - Searchable Categories: Taxonomized content tags and classifications - Keywords Support: Metadata fields for enhanced discoverability #### In Development - DOI Integration: Support for dataset DOIs in metadata fields - ORCID Support: Creator identification via ORCID IDs - Dublin Core Export: Standardized metadata harvesting format - DataCite Compliance: DOI registration-ready metadata #### Planned - Psychology Ontologies: Integration with CogPO, NIFSTD terminologies - Multilingual Support: Metadata in multiple languages - Semantic Annotations: Linked data capabilities - Repository Indexing: Automatic submission to psychology databases ### A - ACCESSIBLE #### Implemented - Open Source: GNU Affero General Public License v3.0 (AGPL-3.0) - Standard Formats: JSON, TSV, CSV for broad tool compatibility - Clear Documentation: Comprehensive README and schema documentation - Multiple Export Formats: Support for various output formats #### In Development - FAIR Export Module: Dublin Core and DataCite metadata export - Repository Integration: Direct connection to OSF, Zenodo, DataVerse - Access Control Framework: Role-based permissions system - Long-term Preservation: Format migration and integrity checking #### Planned - Federated Search: Cross-institutional data discovery - Cloud Integration: AWS, Google Cloud, Azure connectors - Embargo Management: Time-delayed data release - GDPR Compliance: Privacy-preserving data sharing ### I - INTEROPERABLE #### Implemented - JSON Schema Standards: Industry-standard validation framework - BIDS Inspiration: Alignment with neuroimaging data standards - Semantic Versioning: Predictable schema evolution - Modular Design: Extensible architecture for new modalities #### In Development - Full BIDS Compliance: Complete alignment where applicable - API Standards: REST/GraphQL endpoints for data access - Format Converters: Automatic format transformation utilities - Cross-platform Support: Windows, macOS, Linux compatibility #### Planned - FHIR Integration: Healthcare data interoperability - OMOP CDM Support: Longitudinal health research compatibility - Ontology Mapping: Automated concept alignment - SPARQL Endpoints: Semantic web query capabilities ### R - REUSABLE #### Implemented - Clear Licensing: Explicit CC and proprietary license support - Version Control: Git-based development with semantic versioning - Comprehensive Documentation: Schema details, examples, best practices - Community Guidelines: Contribution and governance frameworks #### In Development - Provenance Tracking: Data lineage and processing history - Usage Examples: Sample datasets and analysis workflows - Quality Metrics: Automated data quality assessment - Training Materials: Workshops and educational resources #### Planned - Citation Standards: Automatic citation generation - Impact Tracking: Usage analytics and metrics - Community Feedback: User rating and review system - Best Practices Library: Curated examples and guidelines ## Implementation Roadmap ### Phase 1: Foundation - Schema versioning system - Basic FAIR metadata fields - Dublin Core export functionality - Documentation framework ### Phase 2: Enhanced Findability - DOI integration and validation - ORCID creator identification - Repository connectors (OSF, Zenodo) - Psychology ontology integration ### Phase 3: Full Interoperability - Complete BIDS compliance - REST API development - Format conversion utilities - Cross-platform deployment ### Phase 4: Advanced Features - Federated search capabilities - AI-powered metadata enhancement - Real-time collaboration tools - Community governance platform