The Ethics of Biomedical Big Data

Synopsis

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.

Book details

Edition:

1st ed. 2016

Series:

Law, Governance and Technology Series (Book 29)

Author:

Brent Daniel Mittelstadt, Luciano Floridi

ISBN:

9783319335254

Related ISBNs:

9783319335230

Publisher:

Springer International Publishing

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2019-09-19

Usage restrictions:

Copyright

Copyright date:

2016

Copyright by:

Springer International Publishing, Cham 

Adult content:

No

Language:

English

Categories:

Business and Finance, Computers and Internet, Law, Legal Issues and Ethics, Nonfiction, Philosophy, Reference