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The ethics of biomedical big data
~
Mittelstadt, Brent Daniel.
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The ethics of biomedical big data
Record Type:
Electronic resources : Monograph/item
Title/Author:
The ethics of biomedical big data/ edited by Brent Daniel Mittelstadt, Luciano Floridi.
other author:
Mittelstadt, Brent Daniel.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xvi, 480 p. :digital ;25 cm.
Contained By:
Springer eBooks
Subject:
Big data - Moral and ethical aspects. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-33525-4
ISBN:
9783319335254
The ethics of biomedical big data
The ethics of biomedical big data
[electronic resource] /edited by Brent Daniel Mittelstadt, Luciano Floridi. - Cham :Springer International Publishing :2016. - xvi, 480 p. :digital ;25 cm. - Law, governance and technology series,v.292352-1902 ;. - Law, governance and technology series ;v.6..
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.
ISBN: 9783319335254
Standard No.: 10.1007/978-3-319-33525-4doiSubjects--Topical Terms:
2191225
Big data
--Moral and ethical aspects.
LC Class. No.: QH332 / .E85 2016
Dewey Class. No.: 174.957
The ethics of biomedical big data
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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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Religion and Philosophy (Springer-41175)
based on 0 review(s)
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Attachments
W9285996
電子資源
11.線上閱覽_V
電子書
EB QH332 .E84 2016
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