Recommendations for the FAIRification of genomic track metadata

Area of Science:

• Genomics
• Bioinformatics
• Data Science

Background:

• Genomic data is often represented as tracks linked to reference genomes.
• Researchers struggle to find, access, and combine genomic tracks from diverse sources.
• This difficulty diminishes the value of generated genomic information.

Purpose of the Study:

• To enhance the FAIR data principles (Findable, Accessible, Interoperable, Reusable) for genomic tracks.
• To create searchable metadata for genomic tracks.
• To address challenges in accessing and integrating genomic data.

Main Methods:

• Developed a metadata specification (FAIRtracks) using JSON Schema.
• Integrated FAIRtracks into a novel track search service (TrackFind).
• Tested the system by importing datasets into EPICO and GSuite HyperBrowser.

Main Results:

• Created a searchable metadata system for genomic tracks.
• Demonstrated practical integration with existing genomic analysis tools.
• Established a foundation for improved genomic data accessibility.

Conclusions:

• Introduced a draft standard for genomic track metadata (FAIRtracks) and a supporting software ecosystem (TrackFind).
• The system is adaptable for future research needs, balancing submitter and user requirements.
• This work facilitates better data sharing and utilization in genomic research.