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DATA RESOURCES AND ANALYSES FAIR Header Reference genome: A TRUSTworthy standard
Adam Wright1, Mark D Wilkinson2, Chris Mungall3
1Adaptive Oncology Program, Ontario Institute for Cancer Research, 661 University Avenue Suite 500, Toronto, ON M5G 0A3, Canada.
Biorxiv : the Preprint Server for Biology
|December 11, 2023
Summary
The FAIR-bioHeaders Reference genome (FHR) standard addresses data sharing challenges in genomics. It enhances data interoperability and provenance tracking across platforms with minimal implementation effort.
Area of Science:
- Genomics
- Bioinformatics
- Data Science
Background:
- Lack of interoperable data standards hinders cross-platform analysis in reference genome data sharing.
- This fragmentation leads to increased risk of data provenance loss.
- Decentralized genomic data ecosystems require robust metadata solutions.
Approach:
- Introduced the FAIR-bioHeaders Reference genome (FHR) metadata standard.
- FHR is guided by Findability, Accessibility, Interoperability, and Reuse (FAIR) and TRUST principles.
- Designed for extensibility, flexibility, and expressivity in genomic data management.
Key Points:
- FHR provides a comprehensive set of data serialization methods and minimum data field requirements.
- Implementation effort for FHR is designed to be low.
- Ensures easy implementation while preserving machine and human-readable data provenance.
Conclusions:
- FHR promotes seamless cross-platform analysis and robust data provenance.
- Facilitates a more connected and reliable genomic data ecosystem.
- Aimed at improving data sharing and reuse in bioinformatics research.
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