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Democratizing Health Data for Translational Research.
Philip R O Payne1, Nigam H Shah, Jessica D Tenenbaum
1Institute for Informatics, Washington University School of Medicine, St. Louis, MO, USA, prpayne@wustl.edu.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|December 9, 2017
Summary
Open science principles enhance research reproducibility and efficiency. Improving access to patient health data is crucial for accelerating translational research and improving human health outcomes.
Area of Science:
- Health research
- Translational science
- Open science
Background:
- Growing emphasis on research accessibility, reproducibility, and rigor.
- Need for sustainable methods to generate actionable health insights.
- Open science principles offer solutions for transparency and efficiency.
Purpose of the Study:
- Review best practices for health data sharing.
- Identify policy and technical innovations needed.
- Address impediments to translational research.
Main Methods:
- Literature review of open science practices.
- Analysis of challenges in health data sharing.
- Exploration of policy and technological solutions.
Main Results:
- Open science advances transparency and reproducibility.
- Patient health data sharing lags behind other biological sciences.
- Limited data access hinders multi-scale translational research.
Conclusions:
- Enhanced health data sharing is vital for translational research.
- Policy changes and technical innovation are necessary.
- Facilitating data access accelerates discovery and improves health.
