The NIH NIAID Blueprint: A FAIR Implementation Approach for the Biomedical Sciences
December 3, 2025 @ 16:30 – 17:30 CET
SciLifeLab Data Centre welcome you to join us for the webinar “The NIH NIAID Blueprint: A FAIR Implementation Approach for the Biomedical Sciences” presented by Christine Kirkpatrick. Head – GO FAIR US, Secretary General – CODATA, Principal Investigator – NIAID Data Landscaping and FAIRification, San Diego Supercomputer Center, UC San Diego
When: Wednesday Dec 3, 16:30-17:30 CET (Zoom)
As organisations adopt the FAIR Principles, many face challenges FAIRifying not just datasets but entire ecosystems. The National Institute of Allergy and Infectious Diseases (NIAID), an Institute within the US National Institutes of Health (NIH), manages a diverse data landscape across infectious, allergic, and immunologic domains.
Its FAIRification project aims to improve discovery and reuse across repositories with varied architectures, metadata maturity, and timelines. This work culminated in the recently released, “A Blueprint for Including Digital Objects in the NIAID Data Ecosystem.
This presentation describes the GO FAIR US–led assessment of NIAID repositories, highlighting:
- Customized FAIR assessment instruments
- Evaluation of record-based (not just file-based) repositories
- Common assessment and progress tracking
- Impact-driven adoption of metadata standards and PIDs
- Improving citation practices
- Adapting to social and project constraints
The approach builds on prior FAIR frameworks (FAIRsFAIR, RDA DMM, EarthCube, GO FAIR Foundation) and uses stakeholder-informed questionnaires and interviews to capture repository practices. Combining qualitative assessment and FAIR Implementation Profiles, the method establishes a FAIR baseline, guides targeted improvement strategies, and enables cross-repository comparison to inform strategic planning and strengthen community buy-in.
Organiser: SciLifeLab Data Centre
For more information or inquiries please contact: datacentre@scilifelab.se
This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. 75N91019D00024. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.
datacentre@scilifelab.se
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