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 MoreProject Supporters
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20 May 2025
Pharma and Life Science AI/ML Training Session 1: Introduction to AI for Drug Discovery
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27 May 2025
Pharma and Life Science AI/ML Training – Session 2: Generative AI for Drug Development
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26 Jun 2025
Partner Event: Semantic Data Europe 2025: Taxonomy, Ontology, and Knowledge Graphs
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30 Jun 2025
Pharma and Life Science AI/ML Training – Session 6: LLMs as Agents in Drug Discovery
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01 Jul 2025
Pharma and Life Science AI/ML Training – Session 7: AI in Computational Medicinal Chemistry
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15 Jul 2025
Pharma and Life Science AI/ML Training – Session 9: Digital Pharmaceutical Manufacturing
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