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