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  1. Health Research with Big Data: Time for Systemic Oversight.Effy Vayena & Alessandro Blasimme - 2018 - Journal of Law, Medicine and Ethics 46 (1):119-129.
    To address the ethical challenges in big data health research we propose the concept of systemic oversight. This approach is based on six defining features and aims at creating a common ground across the oversight pipeline of biomedical big data research. Current trends towards enhancing granularity of informed consent and specifying legal provisions to address informational privacy and discrimination concerns in data-driven health research are laudable. However, these solutions alone cannot have the desired impact unless oversight activities by different stakeholders (...)
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  • The ECOUTER methodology for stakeholder engagement in translational research.Madeleine J. Murtagh, Joel T. Minion, Andrew Turner, Rebecca C. Wilson, Mwenza Blell, Cynthia Ochieng, Barnaby Murtagh, Stephanie Roberts, Oliver W. Butters & Paul R. Burton - 2017 - BMC Medical Ethics 18 (1):24.
    Because no single person or group holds knowledge about all aspects of research, mechanisms are needed to support knowledge exchange and engagement. Expertise in the research setting necessarily includes scientific and methodological expertise, but also expertise gained through the experience of participating in research and/or being a recipient of research outcomes. Engagement is, by its nature, reciprocal and relational: the process of engaging research participants, patients, citizens and others brings them closer to the research but also brings the research closer (...)
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  • What can data trusts for health research learn from participatory governance in biobanks?Richard Milne, Annie Sorbie & Mary Dixon-Woods - forthcoming - Journal of Medical Ethics.
    New models of data governance for health data are a focus of growing interest in an era of challenge to the social licence. In this article, we reflect on what the data trust model, which is founded on principles of participatory governance, can learn from experiences of involving and engagement of members of the public and participants in the governance of large-scale biobanks. We distinguish between upstream and ongoing governance models, showing how they require careful design and operation if they (...)
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  • From “Informed” to “Engaged” Consent: Risks and Obligations in Consent for Participation in a Health Data Repository.Elizabeth Bromley, Alexandra Mendoza-Graf, Sandra Berry, Camille Nebeker & Dmitry Khodyakov - 2020 - Journal of Law, Medicine and Ethics 48 (1):172-182.
    The development and use of large and dynamic health data repositories designed to support research pose challenges to traditional informed consent models. We used semi-structured interviewing to elicit diverse research stakeholders' views of a model of consent appropriate to participation in initiatives that entail collection, long-term storage, and undetermined future research use of multiple types of health data. We demonstrate that, when considering health data repositories, research stakeholders replace a concept of consent as informed with one in which consent is (...)
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