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FAIR² Roadmap

Vision and Objectives

The FAIR² (FAIR Squared) initiative aims to establish the leading specification for AI-ready, FAIR-compliant, and machine-actionable datasets. This roadmap outlines the development phases, milestones, and strategic goals that guide FAIR² through its technical evolution and community adoption.

FAIR² supports reproducibility, interoperability, and ethical data use in AI and machine learning pipelines, while extending the foundational FAIR principles through structured metadata and validation mechanisms.

Development Phases

The FAIR² roadmap is organized into three primary phases:

  • Phase 1: Core Specification and Validation (2024 – Q2 2025)
  • Phase 2: Community Feedback and Refinement (Q3–Q4 2025)
  • Phase 3: Certification and Industry Standards (2026 and beyond)

Phase 1: Core Specification and Validation

Timeline: 2024 – Q2 2025
Status: In Progress

This phase focuses on defining and stabilizing the FAIR² specification and its technical foundations.

Key Milestones

  • ✅ Development of the FAIR² Core Schema (JSON-LD-based metadata)
  • ✅ Integration with ML Croissant and Schema.org
  • ✅ Introduction of structured Methodology and Data Article metadata patterns
  • 🟡 Refinement and expansion of SHACL validation rules
  • 🟡 Publication of version 1.0 of the FAIR² Specification
  • 🔜 Development of the FAIR² Validator (CLI and web-based interfaces)

Feedback and contributions welcome:
feedback@fair2.ai

Phase 2: Community Feedback and Refinement

Timeline: Q3–Q4 2025
Status: Planned

This phase invites the broader community to test, implement, and critique the FAIR² Specification prior to certification launch.

Key Milestones

  • 🔜 Release of FAIR² v1.0 with public GitHub repository and SHACL validator
  • 🔜 Launch of FAIR² Pilot Projects and dataset showcases
  • 🔜 Collection of feedback from academic, industrial, and publishing stakeholders
  • 🔜 Iterative updates to ontology, validation rules, and documentation based on feedback

Join the feedback process:
github.com/fair2-spec
community@fair2.ai

Phase 3: Certification and Industry Standards

Timeline: 2026 and beyond
Status: Planned

This phase focuses on formalizing adoption pathways and compliance verification mechanisms.

Planned Milestones

  • 🔜 Launch of the FAIR² Certification Program for datasets and platforms
  • 🔜 Definition of FAIR² Compliance Criteria for research and enterprise use cases
  • 🔜 Introduction of machine-readable FAIR² Certification Badges
  • 🔜 Strategic engagement with policymakers and standards organizations
  • 🔜 Alignment with ISO, Open Science, and responsible AI governance frameworks

For certification inquiries:
certification@fair2.ai

Community Involvement

FAIR² is a collaborative project, and community input is essential to its evolution. You can contribute by:

  • Submitting feature proposals or revisions via GitHub Issues
  • Assisting with SHACL rule testing and FAIR² Validator feedback
  • Promoting adoption within academic, clinical, or industrial settings

General contact:
info@fair2.ai

Next Steps

Last updated: 2025-09-029