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  1. Translating Commercial Health Data Privacy Ethics into Change.Kayte Spector-Bagdady & I. I. W. Nicholson Price - 2023 - American Journal of Bioethics 23 (11):7-10.
    Hundreds of articles have been written over the past several decades delineating the ethical tensions of health data commercialization, empirically querying the preferences of data contributors, an...
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  • Limits of data anonymity: lack of public awareness risks trust in health system activities. [REVIEW]Caroline Brall & Felix Gille - 2021 - Life Sciences, Society and Policy 17 (1):1-8.
    Public trust is paramount for the well functioning of data driven healthcare activities such as digital health interventions, contact tracing or the build-up of electronic health records. As the use of personal data is the common denominator for these healthcare activities, healthcare actors have an interest to ensure privacy and anonymity of the personal data they depend on. Maintaining privacy and anonymity of personal data contribute to the trustworthiness of these healthcare activities and are associated with the public willingness to (...)
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  • Low on trust, high on use datafied media, trust and everyday life.Jannie Hartley-Møller & David Mathieu - 2021 - Big Data and Society 8 (2).
    This article explores yet another paradox – aside from the privacy paradox – related to the datafication of media: citizens trust least the media they use most It investigates the role that daily life plays in shaping the trust that citizens place in datafied media. The study reveals five sets of heuristics guiding the trust assessments of citizens: characteristics of media organisations, old media standards, context of use and purpose, experiences of datafication and understandings of datafication. The article discusses the (...)
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  • The cancer multiple: Producing and translating genomic big data into oncology care.Peter A. Chow-White & Tiên-Dung Hà - 2021 - Big Data and Society 8 (1).
    This article provides an ethnographic account of how Big Data biology is produced, interpreted, debated, and translated in a Big Data-driven cancer clinical trial, entitled “Personalized OncoGenomics,” in Vancouver, Canada. We delve into epistemological differences between clinical judgment, pathological assessment, and bioinformatic analysis of cancer. To unpack these epistemological differences, we analyze a set of gazes required to produce Big Data biology in cancer care: clinical gaze, molecular gaze, and informational gaze. We are concerned with the interactions of these bodily (...)
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