大葉大學圖書館 |

The ethics of biomedical big data[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	174.957
書名/作者:	The ethics of biomedical big data/ edited by Brent Daniel Mittelstadt, Luciano Floridi.
其他作者:	Mittelstadt, Brent Daniel.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xvi, 480 p. : : digital ;; 25 cm.
Contained By:	Springer eBooks
標題:	Big data - Moral and ethical aspects.
標題:	Bioethics.
標題:	Life sciences - Databases
標題:	Philosophy.
標題:	Philosophy of Technology.
標題:	Data Mining and Knowledge Discovery.
標題:	Health Economics.
標題:	Ethics.
ISBN:	9783319335254
ISBN:	9783319335230
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-33525-4

The ethics of biomedical big data[electronic resource] /
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:

640386
Big data
--Moral and ethical aspects.

LC Class. No.: QH332 / .E85 2016

Dewey Class. No.: 174.957

The ethics of biomedical big data[electronic resource] /
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