Data reuse in agricultural genomics research: challenges and recommendations

Gigascience. 2025 Jan 6:14:giae106. doi: 10.1093/gigascience/giae106.

Abstract

The scientific community has long benefited from the opportunities provided by data reuse. Recognizing the need to identify the challenges and bottlenecks to reuse in the agricultural research community and propose solutions for them, the data reuse working group was started within the AgBioData consortium framework. Here, we identify the limitations of data standards, metadata deficiencies, data interoperability, data ownership, data availability, user skill level, resource availability, and equity issues, with a specific focus on agricultural genomics research. We propose possible solutions stakeholders could implement to mitigate and overcome these challenges and provide an optimistic perspective on the future of genomics and transcriptomics data reuse.

Keywords: FAIR; agriculture; big data; data reuse; data standards; genomics; metadata; transcriptomics.

Publication types

  • Review

MeSH terms

  • Agriculture*
  • Databases, Genetic
  • Genomics* / methods
  • Genomics* / standards
  • Metadata