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  1. Introduction: Sharing Data in a Medical Information Commons.Amy L. McGuire, Mary A. Majumder, Angela G. Villanueva, Jessica Bardill, Juli M. Bollinger, Eric Boerwinkle, Tania Bubela, Patricia A. Deverka, Barbara J. Evans, Nanibaa' A. Garrison, David Glazer, Melissa M. Goldstein, Henry T. Greely, Scott D. Kahn, Bartha M. Knoppers, Barbara A. Koenig, J. Mark Lambright, John E. Mattison, Christopher O'Donnell, Arti K. Rai, Laura L. Rodriguez, Tania Simoncelli, Sharon F. Terry, Adrian M. Thorogood, Michael S. Watson, John T. Wilbanks & Robert Cook-Deegan - 2019 - Journal of Law, Medicine and Ethics 47 (1):12-20.
    Drawing on a landscape analysis of existing data-sharing initiatives, in-depth interviews with expert stakeholders, and public deliberations with community advisory panels across the U.S., we describe features of the evolving medical information commons. We identify participant-centricity and trustworthiness as the most important features of an MIC and discuss the implications for those seeking to create a sustainable, useful, and widely available collection of linked resources for research and other purposes.
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  • What is a Medical Information Commons?Juli M. Bollinger, Peter D. Zuk, Mary A. Majumder, Erika Versalovic, Angela G. Villanueva, Rebecca L. Hsu, Amy L. McGuire & Robert Cook-Deegan - 2019 - Journal of Law, Medicine and Ethics 47 (1):41-50.
    A 2011 National Academies of Sciences report called for an “Information Commons” and a “Knowledge Network” to revolutionize biomedical research and clinical care. We interviewed 41 expert stakeholders to examine governance, access, data collection, and privacy in the context of a medical information commons. Stakeholders' attitudes about MICs align with the NAS vision of an Information Commons; however, differences of opinion regarding clinical use and access warrant further research to explore policy and technological solutions.
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  • Advancing a Data Justice Framework for Public Health Surveillance.Mara Buchbinder, Eric Juengst, Stuart Rennie, Colleen Blue & David L. Rosen - 2022 - AJOB Empirical Bioethics 13 (3):205-213.
    Background Bioethical debates about privacy, big data, and public health surveillance have not sufficiently engaged the perspectives of those being surveilled. The data justice framework suggests that big data applications have the potential to create disproportionate harm for socially marginalized groups. Using examples from our research on HIV surveillance for individuals incarcerated in jails, we analyze ethical issues in deploying big data in public health surveillance. -/- Methods We conducted qualitative, semi-structured interviews with 24 people living with HIV who had (...)
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