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A roadmap for restoring trust in Big Data
by
Birney, Ewan
, Eggermont, Alexander
, Horgan, Denis
, Lawler, Mark
, Makaroff, Lydia
, Knoppers, Bartha M
, Sullivan, Richard
, Middleton, Anna
, Morris, Andrew D
in
Big Data
/ Cancer
/ Data analysis
/ Datasets as Topic - ethics
/ Datasets as Topic - standards
/ Datasets as Topic - trends
/ Genomes
/ Genomics
/ Humans
/ Information sharing
/ Personal health
/ Privacy
/ Science
/ Trust
2018
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A roadmap for restoring trust in Big Data
by
Birney, Ewan
, Eggermont, Alexander
, Horgan, Denis
, Lawler, Mark
, Makaroff, Lydia
, Knoppers, Bartha M
, Sullivan, Richard
, Middleton, Anna
, Morris, Andrew D
in
Big Data
/ Cancer
/ Data analysis
/ Datasets as Topic - ethics
/ Datasets as Topic - standards
/ Datasets as Topic - trends
/ Genomes
/ Genomics
/ Humans
/ Information sharing
/ Personal health
/ Privacy
/ Science
/ Trust
2018
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Do you wish to request the book?
A roadmap for restoring trust in Big Data
by
Birney, Ewan
, Eggermont, Alexander
, Horgan, Denis
, Lawler, Mark
, Makaroff, Lydia
, Knoppers, Bartha M
, Sullivan, Richard
, Middleton, Anna
, Morris, Andrew D
in
Big Data
/ Cancer
/ Data analysis
/ Datasets as Topic - ethics
/ Datasets as Topic - standards
/ Datasets as Topic - trends
/ Genomes
/ Genomics
/ Humans
/ Information sharing
/ Personal health
/ Privacy
/ Science
/ Trust
2018
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Journal Article
A roadmap for restoring trust in Big Data
2018
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Overview
The Framework for Responsible Sharing of Genomic and Health Related Data represents a practical global approach, promoting effective and ethical sharing and use of research or patient data, while safeguarding individual privacy through secure and accountable data transfer. Development of solutions whereby security is achieved in concurrent layers is required: reducing data travel, separating personal identifiable data from payload data, using effective anonymisation and encryption methods. Use of accredited data safe havens, provision of honest broker services, and, where necessary, maintenance of personal data at host locations for in-situ analysis with easy-to-use freely available Application-Programme-Interfaces, can democratise data analysis for maximum scientific and clinical value.
Publisher
Elsevier Ltd,Elsevier Limited
Subject
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