Can data repositories help find effective treatments for complex diseases?

Area of Science:

• Biomedical informatics
• Genomics
• Disease research

Background:

• Developing treatments for complex diseases faces significant challenges.
• Current data infrastructure may not meet the demands of comprehensive disease understanding.

Purpose of the Study:

• To explore the feasibility of a data repository for accelerating complex disease research.
• To identify characteristics of successful data repositories and lessons from unsuccessful ones.
• To discuss data sharing issues and their implications for complex disease data archives.

Main Methods:

• Review of existing successful and unsuccessful data infrastructures.
• Analysis of data storage capacity requirements.
• Discussion of data sharing challenges and potential solutions.

Main Results:

• Successful data repositories share common characteristics.
• Lessons learned from data infrastructure failures can inform future designs.
• Significant open questions remain regarding data sharing for complex diseases.

Conclusions:

• Data archives hold potential for advancing the understanding of complex diseases.
• Identifying biomarkers for disease sub-populations is a key goal for such archives.
• Addressing data sharing challenges is crucial for the success of data repositories.