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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.
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.
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