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

Burgess, Romana; Dolan, Elizabeth; Poon, Neo; Jenneson, Victoria; Pontin, Francesca; Sivill, Torty; Morris, Michelle; Skatova, Anya; Burgess, Romana

Abstract

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.

Citation

Burgess, R., Dolan, E., Poon, N., Jenneson, V., Pontin, F., Sivill, T., Morris, M., Skatova, A., & Burgess, R. (2024). Harnessing digital footprint data for population health: a discussion on collaboration, challenges and opportunities in the UK. BMJ Health & Care Informatics, 31(1), Article e101119. https://doi.org/10.1136/bmjhci-2024-101119

• Journal Article Type: Article
• Acceptance Date: Aug 26, 2024
• Online Publication Date: Sep 28, 2024
• Publication Date: 2024-09
• Deposit Date: Jul 11, 2025
• Publicly Available Date: Jul 11, 2025
• Journal: BMJ Health & Care Informatics
• Electronic ISSN: 2632-1009
• Publisher: BCS, The Chartered Institute for IT
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 1
• Article Number: e101119
• DOI: https://doi.org/10.1136/bmjhci-2024-101119
• Public URL: https://nottingham-repository.worktribe.com/output/51348603
• Publisher URL: https://informatics.bmj.com/content/31/1/e101119