About FAIR²?

What is FAIR²?

FAIR² is FAIR made AI-Ready, Responsible AI aligned, and Context-Rich. It builds on the original FAIR principles to address the evolving needs of the scientific community, ensuring datasets are not only usable but trusted, reproducible, and ethically aligned.

How FAIR² Builds on FAIR

FAIR² incorporates new elements that address gaps in the original FAIR principles:
Context-Rich Metadata: Detailed documentation of how datasets are created, processed, and validated.
AI-Ready Design: Ensures datasets are interoperable with modern AI tools and workflows.
Responsible AI Alignment: Transparently records biases, ethical considerations, and limitations in the dataset.

Why These Additions Matter

FAIR² provides essential advancements for modern science
Context: Without detailed context, data is often misapplied or misunderstood. FAIR² ensures every dataset is accompanied by the necessary metadata to support effective reuse.
AI-Readiness: Modern research increasingly depends on AI-driven workflows. FAIR² prepares datasets for seamless integration into these processes.
Ethical Responsibility: In the era of Responsible AI, documenting biases and ethical considerations is essential to prevent misuse and ensure equity.

Benefits of FAIR²

Context-Rich Metadata: Detailed documentation of how datasets are created, processed, and validated.
AI-Ready Design: Ensures datasets are interoperable with modern AI tools and workflows.
Responsible AI Alignment: Transparently records biases, ethical considerations, and limitations in the dataset.
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FAIR² @ SENSCIENCE

Avenue Tribunal-Federal 34
1005 Lausanne,
Switzerland
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