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Title: An Ethics Framework for Big Data in Health and Research
Authors: Xafis, V 
Schaefer, GO 
Labude, MK 
Brassington, I
Ballantyne, A 
Lim, HY
Lipworth, W
Lysaght, T 
Stewart, C
Sun, S
Laurie, GT 
Tai, ES 
Keywords: Artificial intelligence
Cross-sectorial data
Data repositories
Ethics framework
Health and research
Open sharing
Precision medicine
Public-private partnership
Real-world evidence
Issue Date: 1-Sep-2019
Publisher: Springer Science and Business Media LLC
Citation: Xafis, V, Schaefer, GO, Labude, MK, Brassington, I, Ballantyne, A, Lim, HY, Lipworth, W, Lysaght, T, Stewart, C, Sun, S, Laurie, GT, Tai, ES (2019-09-01). An Ethics Framework for Big Data in Health and Research. Asian Bioethics Review 11 (3) : 227-254. ScholarBank@NUS Repository.
Abstract: Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health and Policy-relevant Ethics in Singapore (SHAPES) Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data.
Source Title: Asian Bioethics Review
ISSN: 17938759
DOI: 10.1007/s41649-019-00099-x
Appears in Collections:Staff Publications

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