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The ethics of biomedical big data

This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems pose...

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Detalles Bibliográficos
Autores principales: Mittelstadt, Brent Daniel, Floridi, Luciano
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2214549
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author Mittelstadt, Brent Daniel
Floridi, Luciano
author_facet Mittelstadt, Brent Daniel
Floridi, Luciano
author_sort Mittelstadt, Brent Daniel
collection CERN
description This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.
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spelling cern-22145492021-04-21T19:31:43Zhttp://cds.cern.ch/record/2214549engMittelstadt, Brent DanielFloridi, LucianoThe ethics of biomedical big dataOther SubjectsThis book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.Springeroai:cds.cern.ch:22145492016
spellingShingle Other Subjects
Mittelstadt, Brent Daniel
Floridi, Luciano
The ethics of biomedical big data
title The ethics of biomedical big data
title_full The ethics of biomedical big data
title_fullStr The ethics of biomedical big data
title_full_unstemmed The ethics of biomedical big data
title_short The ethics of biomedical big data
title_sort ethics of biomedical big data
topic Other Subjects
url http://cds.cern.ch/record/2214549
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