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 (
$idfields)Standardized Naming: BIDS-inspired file naming conventions
Searchable Categories: Taxonomized content tags and classifications
Keywords Support: Metadata fields for enhanced discoverability
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
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
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