Law, Governance and Technology Series

The Ethics of Biomedical Big Data

Editors: Mittelstadt, Brent, Floridi, Luciano (Eds.)

  • Is the first to address the ethical challenges posed by biomedical Big Data
  • Includes analyses of both theoretical and applied problems concerning the ethical aspects of biomedical Big Data
  • Identifies key issues and approaches in the debate on new data technologies and processing techniques
  • Proposes international policy frameworks to address the ethical issues of an emerging disruptive information technology
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-33525-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-33523-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

Brent Mittelstadt is a Postdoctoral Research Fellow at the Oxford Internet Institute, University of Oxford.  Since 2014 he has held a Junior Research Fellowship with St. Cross College.  His current work examines the ethics of learning algorithms as used in personal data analytics. Prior to this he worked on the ‘Ethics of Biomedical Big Data’ project wirt Prof. Luciani Floridi to map the ethical landscape surrounding mining and sharing of biomedical and health-related ‘Big Data’ across research and commercial institutions. He has also conducted ethical foresight of emerging medical information and communication technologies, including personal health monitoring devices and ‘smart’ environments designed to support dementia care and ‘ageing at home’.  His research falls broadly within the philosophy and ethics of information, computer ethics and medical ethics.

Luciano Floridi is Professor of Philosophy and Ethics of Information at the University of Oxford, where he is the Director of Research and Senior Research Fellow of the Oxford Internet Institute, Governing Body Fellow of St Cross College, Distinguished Research Fellow of the Uehiro Centre for Practical Ethics, Faculty of Philosophy, and Research Associate and Fellow in Information Policy of the Department of Computer Science.

Table of contents (19 chapters)

  • Introduction

    Mittelstadt, Brent Daniel (et al.)

    Pages 1-13

  • “Strictly Biomedical? Sketching the Ethics of the Big Data Ecosystem in Biomedicine”

    Vayena, Effy (et al.)

    Pages 17-39

  • Using Transactional Big Data for Epidemiological Surveillance: Google Flu Trends and Ethical Implications of ‘Infodemiology’

    Richterich, Annika

    Pages 41-72

  • Denmark at a Crossroad? Intensified Data Sourcing in a Research Radical Country

    Hoeyer, Klaus

    Pages 73-93

  • A Critical Examination of Policy-Developments in Information Governance and the Biosciences

    Hockings, Edward

    Pages 95-115

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-33525-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-33523-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
The Ethics of Biomedical Big Data
Editors
  • Brent Mittelstadt
  • Luciano Floridi
Series Title
Law, Governance and Technology Series
Series Volume
29
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-33525-4
DOI
10.1007/978-3-319-33525-4
Hardcover ISBN
978-3-319-33523-0
Series ISSN
2352-1902
Edition Number
1
Number of Pages
XVI, 480
Number of Illustrations and Tables
5 b/w illustrations
Topics