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FAIR Implementation Project

From its inception in 2019 to today, the FAIR implementation project’s goal is to enable pre-competitive instruments for the implementation of FAIR data principles.

Why is this important?

This project supports the implementation of the Findable, Accessible, Interoperable, and Re-usable (FAIR) guiding principles by sharing best practices.

Implementation of the FAIR guiding principles is important for the Life Science industry, as described in Drug Discovery Today. FAIR Implementation releases far greater value from data and associated metadata over a much longer period of time, including enabling more likely and effective secondary reuse.

The project enables a world-class community of  experts practitioners to implement the FAIR principles within the pharmaceutucal industry and other life-science organisations.

 

Get Involved in the FAIR Community

Click below to visit our FAIR for Pharma community page

Learn More

Project Supporters

  • Elucidata logo
  • Pfizer logo
  • Roche blue logo with hexagonal border on white background

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14 Oct 2026

Life Science AI Exchange Round Table: Failures & Lessons Learned

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14 Oct 2026

US Life Science Informatics Forum

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15 Oct 2026

GraphTalk: Pharmaceuticals & Life Sciences

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20 Oct 2026

2026 User Experience in Life Sciences (UXLS) Conference

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20 Oct 2026

Building for the Unknown: Change Management, Architecture, and Culture in the Age of AI

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23 Oct 2026

Towards AI Ready Metabolomics

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10 Nov 2026

Boston 2026 Conference

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12 Nov 2026

Pharmaceutical CMC Process Ontology

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12 Nov 2026

IDMP Ontology User Group Boston 2026: Practical Implementations, Data Standardization & AI

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16 Nov 2026

Quantum Computing in Pharma R&D: Accelerating to Adoption

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18 Nov 2026

Life Science AI Exchange Round Table: AI-Ready Data

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25 Nov 2026

UK Life Science Informatics Forum

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02 Dec 2026

Life Science AI Exchange: Achievements in AI and Future Trends

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