Harnessing digital footprint data for population health: a discussion on collaboration, challenges and opportunities in the UK.

Autor:	Burgess R; MRC Integrative Epidemiology Unit, Bristol, UK az19326@bristol.ac.uk.; Digital Footprints Lab, Univeristy of Bristol, Bristol, UK., Dolan E; Nottingham Business School, University of Nottingham, Nottingham, UK., Poon N; MRC Integrative Epidemiology Unit, Bristol, UK.; Digital Footprints Lab, Univeristy of Bristol, Bristol, UK., Jenneson V; University of Leeds, Leeds Institute for Data Analytics, Leeds, UK.; University of Leeds School of Food Science and Nutrition, Leeds, UK., Pontin F; University of Leeds, Leeds Institute for Data Analytics, Leeds, UK.; University of Leeds, Consumer Data Research Centre, Leeds, UK., Sivill T; University of Bristol School of Computer Science Electrical and Electronic Engineering and Engineering Maths, Bristol, UK.; The Alan Turing Institute, London, UK., Morris M; University of Leeds School of Food Science and Nutrition, Leeds, UK.; The Alan Turing Institute, London, UK., Skatova A; MRC Integrative Epidemiology Unit, Bristol, UK.; Digital Footprints Lab, Univeristy of Bristol, Bristol, UK.; The Alan Turing Institute, London, UK.
Jazyk:	angličtina
Zdroj:	BMJ health & care informatics [BMJ Health Care Inform] 2024 Sep 28; Vol. 31 (1). Date of Electronic Publication: 2024 Sep 28.
DOI:	10.1136/bmjhci-2024-101119
Abstrakt:	Digital footprint data are inspiring a new era in population health and well-being research. Linking these novel data with other datasets is critical for future research wishing to use these data for the public good. In order to succeed, successful collaboration among industry, academics and policy-makers is vital. Therefore, we discuss the benefits and obstacles for these stakeholder groups in using digital footprint data for research in the UK. We advocate for policy-makers' inclusion in research efforts, stress the exceptional potential of digital footprint research to impact policy-making and explore the role of industry as data providers, with a focus on shared value, commercial sensitivity, resource requirements and streamlined processes. We underscore the importance of multidisciplinary approaches, consumer trust and ethical considerations in navigating methodological challenges and further call for increased public engagement to enhance societal acceptability. Finally, we discuss how to overcome methodological challenges, such as reproducibility and sharing of learnings, in future collaborations. By adopting a multiperspective approach to outlining the challenges of working with digital footprint data, our contribution helps to ensure that future research can navigate these challenges effectively while remaining reproducible, ethical and impactful. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)
Databáze:	MEDLINE
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