國立虎尾科技大學 |

The ethics of biomedical big data

Record Type:	Language materials, printed : 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.5..

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:

1107545
Big data
--Moral and ethical aspects.

LC Class. No.: QH332 / .E85 2016

Dewey Class. No.: 174.957

The ethics of biomedical big data
LDR:02203nam a2200325 a 4500 001 866737
003 DE-He213
005 20170213101027.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319335254 $q (electronic bk.)
020 $a 9783319335230 $q (paper)
024 7 $a 10.1007/978-3-319-33525-4 $2 doi
035 $a 978-3-319-33525-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QH332 $b .E85 2016
072 7 $a HP $2 bicssc
072 7 $a PHI021000 $2 bisacsh
072 7 $a TEC000000 $2 bisacsh
082 0 4 $a 174.957 $2 23
090 $a QH332 $b .E84 2016
245 0 4 $a The ethics of biomedical big data $h [electronic resource] / $c edited by Brent Daniel Mittelstadt, Luciano Floridi.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xvi, 480 p. : $b digital ; $c 25 cm.
490 1 $a Law, governance and technology series, $x 2352-1902 ; $v v.29
520 $a 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.
650 0 $a Big data $x Moral and ethical aspects. $3 1107545
650 0 $a Bioethics. $3 567376
650 0 $a Life sciences $x Databases $x Moral and ethical aspects. $3 1113143
650 1 4 $a Philosophy. $3 559771
650 2 4 $a Philosophy of Technology. $3 671635
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Health Economics. $3 786205
650 2 4 $a Ethics. $3 555769
700 1 $a Mittelstadt, Brent Daniel. $3 1113142
700 1 $a Floridi, Luciano. $3 1025051
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Law, governance and technology series ; $v v.5. $3 884844
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-33525-4
950 $a Religion and Philosophy (Springer-41175)