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Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research

Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and... Asian Bioethics Review (2019) 11:223–225 https://doi.org/10.1007/s41649-019-00098-y EDITORIAL Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research 1 2,3 Graeme T. Laurie & EShyong Tai & on behalf of the SHAPES Working Group Published online: 30 September 2019 # National University of Singapore and Springer Nature Singapore Pte Ltd. 2019 The Science, Health and Policy-relevant Ethics in Singapore (SHAPES) Initiative is a programme at the Centre for Biomedical Ethics, National University of Singapore funded by Singapore’s National Medical Research Council. SHAPES was funded to develop a Big Data Project in 2018–2019 and established an international Working Group to this end in 2018. This Special Issue presents the Ethics Framework for Big Data in Health and Research (‘the Framework’)(Xafis et al. 2019) developed by the SHAPES Working Group. The topic of big data has been explored extensively in academic, technical, govern- ment, legal and private sector literature for a number of decades. The potential arising from the use of big data in health and research is widely recognised, as are the challenges posed in this fast-paced dynamic field. However, despite the wealth of literature, there is a lack of practical guidance for decision-making in the form http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Bioethics Review Springer Journals

Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research

Asian Bioethics Review , Volume 11 (3) – Sep 30, 2019

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Publisher
Springer Journals
Copyright
Copyright © 2019 by National University of Singapore and Springer Nature Singapore Pte Ltd.
Subject
Philosophy; Bioethics; Ethics; Medical Law; Public Health; Biomedicine, general; Health Administration
ISSN
1793-8759
eISSN
1793-9453
DOI
10.1007/s41649-019-00098-y
Publisher site
See Article on Publisher Site

Abstract

Asian Bioethics Review (2019) 11:223–225 https://doi.org/10.1007/s41649-019-00098-y EDITORIAL Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research 1 2,3 Graeme T. Laurie & EShyong Tai & on behalf of the SHAPES Working Group Published online: 30 September 2019 # National University of Singapore and Springer Nature Singapore Pte Ltd. 2019 The Science, Health and Policy-relevant Ethics in Singapore (SHAPES) Initiative is a programme at the Centre for Biomedical Ethics, National University of Singapore funded by Singapore’s National Medical Research Council. SHAPES was funded to develop a Big Data Project in 2018–2019 and established an international Working Group to this end in 2018. This Special Issue presents the Ethics Framework for Big Data in Health and Research (‘the Framework’)(Xafis et al. 2019) developed by the SHAPES Working Group. The topic of big data has been explored extensively in academic, technical, govern- ment, legal and private sector literature for a number of decades. The potential arising from the use of big data in health and research is widely recognised, as are the challenges posed in this fast-paced dynamic field. However, despite the wealth of literature, there is a lack of practical guidance for decision-making in the form

Journal

Asian Bioethics ReviewSpringer Journals

Published: Sep 30, 2019

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