The future is FAIR: a community framework for enhanced data management and data sharing
Published in Database, 2026
Related context: community recommendations for FAIR data management, ontology use, and interoperability in agricultural genomics.
Research on FAIR bioHeaders and related work by Adam Wright and David Molik on genome nomenclature, data standards, and FAIR data sharing. Related articles provide context for the project; each publication page explains its connection.
Patterns across biology
These rounded bug eggs show fine polygonal surface texture and close packing: repeating forms at a microscopic scale.
The DNA connection behind our hexagonPublished in Database, 2026
Related context: community recommendations for FAIR data management, ontology use, and interoperability in agricultural genomics.
Published in GENETICS, 2026
Related context: reporting standards and reproducibility across arthropod and biodiversity genome projects.
Published in microPublication Biology, 2025
Related context: a repository discovery tool for agricultural genomic, genetic, and breeding data, coauthored by David Molik and Adam Wright.
Published in GENETICS, 2025
Consistent names for genome assemblies and annotations support discovery, interoperability, and reproducible analysis.
Published in Briefings in Bioinformatics, 2024
The FAIR bioHeaders Reference genome (FHR) aims to address the lack of interoperable data standards in reference genome data-sharing platforms, enhancing cross-platform analysis and mitigating data provenance loss by providing an extensive metadata standard guided by FAIR principles alongside Transparency, Responsibility, User focus, Sustainability, and Technology principles, ensuring easy implementation while maintaining extensibility and expressivity in a decentralized genomic data ecosystem.