國立高雄大學圖資館 |

Language: English

Back

The ethics of biomedical big data

Floridi, Luciano.

The ethics of biomedical big data

Record Type:	Electronic resources : Monograph/item
Title/Author:	The ethics of biomedical big dataedited 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 dataMoral and ethical aspects.
Online resource:	http://dx.doi.org/10.1007/978-3-319-33525-4
ISBN:	9783319335254$q(electronic bk.)

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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-33525-4doiSubjects--Topical Terms:

744446
Big data
--Moral and ethical aspects.

LC Class. No.: QH332 / .E85 2016

Dewey Class. No.: 174.957

The ethics of biomedical big data
LDR:02203nmm a2200325 a 4500 001 496447
003 DE-He213
005 20170213101027.0
006 m d
007 cr nn 008maaau
008 170323s2016 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 : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
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 744446
650 0 $a Bioethics. $3 195040
650 0 $a Life sciences $x Databases $x Moral and ethical aspects. $3 758987
650 1 4 $a Philosophy. $3 176573
650 2 4 $a Philosophy of Technology. $3 274756
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Health Economics. $3 522380
650 2 4 $a Ethics. $3 174971
700 1 $a Mittelstadt, Brent Daniel. $3 758986
700 1 $a Floridi, Luciano. $3 679798
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Law, governance and technology series ; $v v.6. $3 559979
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-33525-4
950 $a Religion and Philosophy (Springer-41175)