From Research Data Ethics Principles to Practice: Data Trusts as a Governance Tool

Forthcoming in: Pogrebna, G. & Hills, T. (2023) eds. Handbook of Behavioural Data Science, Cambridge University Press

12 Pages Posted: 12 Jan 2021 Last revised: 3 Mar 2023

See all articles by Sylvie Delacroix

Sylvie Delacroix

King's College London; The Alan Turing Institute

Jessica Montgomery

University of Cambridge; University of Birmingham

Date Written: November 23, 2020

Abstract

Artificial intelligence and data science offer tools that could advance the pace of discovery across research domains. By processing large datasets, extracting insights from new data sources, and identifying patterns or relationships that would not otherwise have been visible to researchers, these technologies can advance understandings of science and society. Achieving this potential will require that researchers have access to data that is governed in ways that respect both the benefits that data use can bring and the risks to individuals, communities and society that can follow. Recent years have seen numerous examples of the ways in which these risks can be manifest, some of which also serve to highlight the ethical implications of pursuing behavioural research using advanced data analytics. Over the same period, researchers and policymakers have been active in developing frameworks that enable ethical data use. A range of data sharing structures exist, which are differently suited to achieving different governance aims. In seeking to connect the desire to share data with concerns about individual rights, data trusts offer a promising mechanism for future development. For researchers, data trusts offer a means of accessing multiple data types in a more streamlined way than current contract-based structures allow. For research participants, they provide a route to exerting informed influence over how and for what purposes data about them is used.

Keywords: AI, data, data governance, data trusts, bottom-up, GDPR, behavioural data sciences, data sharing

Suggested Citation

Delacroix, Sylvie and Montgomery, Jessica, From Research Data Ethics Principles to Practice: Data Trusts as a Governance Tool (November 23, 2020). Forthcoming in: Pogrebna, G. & Hills, T. (2023) eds. Handbook of Behavioural Data Science, Cambridge University Press, Available at SSRN: https://ssrn.com/abstract=3736090 or http://dx.doi.org/10.2139/ssrn.3736090

Sylvie Delacroix (Contact Author)

King's College London ( email )

London
United Kingdom

HOME PAGE: http://https://delacroix.uk

The Alan Turing Institute ( email )

96 Euston Road
London, NW1 2DB
United Kingdom

Jessica Montgomery

University of Cambridge ( email )

Trinity Ln
Cambridge, CB2 1TN
United Kingdom

University of Birmingham ( email )

Edgbaston, Birmingham B15 2TT
United Kingdom

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