Title |
Creating a data resource: what will it take to build a medical information commons?
|
---|---|
Published in |
Genome Medicine, September 2017
|
DOI | 10.1186/s13073-017-0476-3 |
Pubmed ID | |
Authors |
Patricia A. Deverka, Mary A. Majumder, Angela G. Villanueva, Margaret Anderson, Annette C. Bakker, Jessica Bardill, Eric Boerwinkle, Tania Bubela, Barbara J. Evans, Nanibaa’ A. Garrison, Richard A. Gibbs, Robert Gentleman, David Glazer, Melissa M. Goldstein, Hank Greely, Crane Harris, Bartha M. Knoppers, Barbara A. Koenig, Isaac S. Kohane, Salvatore La Rosa, John Mattison, Christopher J. O’Donnell, Arti K. Rai, Heidi L. Rehm, Laura L. Rodriguez, Robert Shelton, Tania Simoncelli, Sharon F. Terry, Michael S. Watson, John Wilbanks, Robert Cook-Deegan, Amy L. McGuire |
Abstract |
National and international public-private partnerships, consortia, and government initiatives are underway to collect and share genomic, personal, and healthcare data on a massive scale. Ideally, these efforts will contribute to the creation of a medical information commons (MIC), a comprehensive data resource that is widely available for both research and clinical uses. Stakeholder participation is essential in clarifying goals, deepening understanding of areas of complexity, and addressing long-standing policy concerns such as privacy and security and data ownership. This article describes eight core principles proposed by a diverse group of expert stakeholders to guide the formation of a successful, sustainable MIC. These principles promote formation of an ethically sound, inclusive, participant-centric MIC and provide a framework for advancing the policy response to data-sharing opportunities and challenges. |
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United Kingdom | 4 | 36% |
United States | 2 | 18% |
Belgium | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 64% |
Scientists | 3 | 27% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 18% |
Student > Ph. D. Student | 10 | 12% |
Student > Bachelor | 10 | 12% |
Researcher | 9 | 11% |
Other | 5 | 6% |
Other | 13 | 15% |
Unknown | 23 | 27% |
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---|---|---|
Agricultural and Biological Sciences | 7 | 8% |
Social Sciences | 7 | 8% |
Computer Science | 7 | 8% |
Business, Management and Accounting | 6 | 7% |
Nursing and Health Professions | 5 | 6% |
Other | 27 | 32% |
Unknown | 26 | 31% |