Further Resources

About the AIRBDS Working Group

The AIRBDS metric was developed by the AI-Ready Bioscience Datasets (AIRBDS) Working Group of AIBIO-UK, funded by the Biotechnology and Biological Sciences Research Council (BBSRC).

• Working group page: aibio.ac.uk/about/working-groups/airbds/
• Repository: github.com/AIBIO-UK/airbds-metric

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Contributing reviews

Dataset reviews submitted to the repository help build a public record of AI-readiness across the bioscience landscape. You are very welcome to contribute.

• Contribution guidelines: CONTRIBUTING.md
• Code of Conduct: CODE_OF_CONDUCT.md

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FAIR Data Principles

The AIRBDS metric builds on several established frameworks for data quality and openness:

• FAIR Principles — Wilkinson et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. doi:10.1038/sdata.2016.18
• ESIP Data Quality Cluster — wiki.esipfed.org
• Open Data Institute (ODI) Certificates — certificates.theodi.org
• Bridge2AI Standards — bridge2ai.org

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Cite the metric

AIRBDS Working Group, AIBIO-UK. (2025). AIRBDS AI-Readiness Dataset Scoring Metric (v0.3). GitHub. https://github.com/AIBIO-UK/airbds-metric

Full citation metadata (including all working group members) is in CITATION.cff.