Data reuse in agricultural genomics research: challenges and recommendations

Area of Science:

• Agricultural Genomics
• Data Science
• Bioinformatics

Background:

• Data reuse is crucial for scientific advancement.
• The AgBioData consortium established a working group to address data reuse challenges in agricultural research.

Purpose of the Study:

• Identify challenges and bottlenecks to data reuse in agricultural research.
• Propose solutions for improving data reuse, particularly in agricultural genomics.
• Foster a positive outlook on the future of agricultural genomics and transcriptomics data reuse.

Main Methods:

• Qualitative analysis of limitations in data standards, metadata, interoperability, ownership, availability, user skills, resources, and equity.
• Stakeholder-focused solution development for identified challenges.
• Focus on agricultural genomics research.

Main Results:

• Identified key limitations including data standards, metadata deficiencies, interoperability issues, data ownership concerns, availability constraints, user skill gaps, resource limitations, and equity issues.
• Proposed actionable solutions for stakeholders to overcome these barriers.
• Highlighted specific challenges within agricultural genomics research.

Conclusions:

• Addressing identified limitations is essential for enhancing agricultural data reuse.
• Implementing proposed solutions can mitigate challenges and improve data accessibility and interoperability.
• Optimistic perspective on the future of genomics and transcriptomics data reuse in agriculture.