Building Global Genomics Initiatives and Enabling Data Sharing: Insights from Multiple Case Studies

Area of Science:

• Genomics
• Bioinformatics
• Scientific Governance

Background:

• Global genomics initiatives grapple with evolving challenges in data management, exchange, and cross-border collaboration.
• Existing research often simplifies governance models into dichotomies, failing to capture nuanced realities.

Purpose of the Study:

• To analyze the dynamics and adaptive strategies of global genomics initiatives in data governance.
• To expand understanding beyond simplistic open vs. property data regime frameworks.
• To identify common themes and fundamental differences in how initiatives manage resources, goals, and data sharing.

Main Methods:

• Employed a multiple case study approach to assess and compare organizational responses.
• Conducted a comparative qualitative analysis of diverse genomics initiatives.
• Examined how initiatives adapt governance, management, and design solutions to varied environments.

Main Results:

• Genomics initiatives exhibit fundamental differences in goal setting, resource definition, governance design, and data sharing mechanisms.
• Governance structures and management processes are continuously adapted to social, technical, and policy contexts.
• Engagement with large scientific communities is crucial for developing shared rules for data exchange and use.

Conclusions:

• Genomics initiatives necessitate adaptive governance structures shaped by their unique operational environments.
• Community engagement is vital for co-designing effective data sharing and usage guidelines.
• The study offers a benchmark for understanding scientific governance and innovation in omics research.