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Contributing to FAIR²

Thank you for your interest in contributing to FAIR²—a community-driven specification for AI-ready, machine-actionable, and FAIR-compliant data. This guide outlines the pathways for engaging with the FAIR² project, whether you are a researcher, developer, data steward, or AI practitioner.

Community Participation

We welcome contributors from diverse backgrounds and expertise. To stay informed and connected:

Areas of Contribution

Contributions to FAIR² are welcome in the following areas:

  • Development and refinement of the FAIR² Schema
  • Extension and improvement of SHACL validation rules
  • Integration of AI/ML metadata properties
  • Creation of documentation, tutorials, and best practices
  • Submission of real-world example datasets

If you have suggestions or proposals, please reach out to feedback@fair2.ai.

Contribution Workflow

To propose changes to the specification, schema, or documentation:

  1. Fork the repository at github.com/fair2-spec.
  2. Create a feature branch for your proposed changes.
  3. Write clear and descriptive commit messages.
  4. Submit a pull request (PR) with a concise summary of the changes.
  5. Engage with reviewers to refine and finalize the submission.

Please review the Contributor Guidelines before submitting a pull request.

FAIR² Certification and Adoption

The FAIR² initiative is developing certification pathways to recognize:

  • Datasets that comply with FAIR² metadata and validation standards.
  • Platforms that implement FAIR²-compatible tooling.
  • Organizations that integrate FAIR² into their data stewardship workflows.

To inquire about certification or organizational adoption:

Media and Outreach

If you are interested in featuring FAIR² in publications, events, or other outreach activities, please contact media@fair2.ai.

We encourage community sharing of articles, blogs, and presentations that help promote AI-ready FAIR data practices.

Code of Conduct

All contributors and participants are expected to adhere to the FAIR² Code of Conduct. The FAIR² community values respectful collaboration and inclusive engagement in all spaces.

Next Steps

To begin contributing:

  • Browse and comment on open GitHub issues.
  • Share feedback via feedback@fair2.ai.
  • Join our upcoming community discussions and working groups (details coming soon).

We are grateful for your support in building FAIR² into a trusted standard for machine-actionable, AI-ready FAIR data.

Last updated: 2025-09-26