A Scenario-Based Methodology for Analyzing the Ethical, Legal, and Social Issues in Genomic Data Sharing

Area of Science:

• Genomic Data Science
• Bioethics
• Legal Studies

Background:

• Genomic data sharing is vital for clinical practice and biomedical research.
• Current legal and ethical discussions on genomic data sharing are often too broad.
• Diverse data sharing practices, from individual patient data to direct-to-consumer (DTC) data, pose unique challenges.

Purpose of the Study:

• To address the legal and ethical complexities of genomic data sharing.
• To move beyond general commentary by engaging with specific, granular issues.
• To develop a foundation for practical regulatory recommendations.

Main Methods:

• Developed an empirical approach using prototypical scenarios.
• Scenarios capture the diversity of current genomic data sharing practices.
• Facilitates granular legal and ethical analysis of key issues.

Main Results:

• The scenario-based approach allows for detailed examination of legal and ethical considerations.
• Identified key issues across various genomic data sharing contexts.
• Provides a framework for understanding the nuances of data sharing.

Conclusions:

• Granular analysis grounded in specific contexts is essential for advancing the genomic data sharing debate.
• The developed approach offers a strong foundation for creating relevant regulatory recommendations.
• Addressing specific scenarios can lead to more effective policies for genomic data governance.