Teodorowski, Piotr 
ORCID: 0000-0003-2172-8298, Jones, Elisa ORCID: 0009-0003-1188-5684, Tahir, Naheed ORCID: 0000-0001-7112-7816, Ahmed, Saiqa ORCID: 0009-0003-6049-2473, Rodgers, Sarah E ORCID: 0000-0002-4483-0845 and Frith, Lucy ORCID: 0000-0002-8506-0699
(2024)
Public Involvement and Engagement in Big Data Research: Scoping Review.
Journal of participatory medicine, 16.
e56673-.
ISSN 2152-7202, 2152-7202
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Public Involvement and Engagement in Big Data Research Scoping Review.pdf - Open Access published version Download (1MB) | Preview |
Abstract
<h4>Background</h4>The success of big data initiatives depends on public support. Public involvement and engagement could be a way of establishing public support for big data research.<h4>Objective</h4>This review aims to synthesize the evidence on public involvement and engagement in big data research.<h4>Methods</h4>This scoping review mapped the current evidence on public involvement and engagement activities in big data research. We searched 5 electronic databases, followed by additional manual searches of Google Scholar and gray literature. In total, 2 public contributors were involved at all stages of the review.<h4>Results</h4>A total of 53 papers were included in the scoping review. The review showed the ways in which the public could be involved and engaged in big data research. The papers discussed a broad range of involvement activities, who could be involved or engaged, and the importance of the context in which public involvement and engagement occur. The findings show how public involvement, engagement, and consultation could be delivered in big data research. Furthermore, the review provides examples of potential outcomes that were produced by involving and engaging the public in big data research.<h4>Conclusions</h4>This review provides an overview of the current evidence on public involvement and engagement in big data research. While the evidence is mostly derived from discussion papers, it is still valuable in illustrating how public involvement and engagement in big data research can be implemented and what outcomes they may yield. Further research and evaluation of public involvement and engagement in big data research are needed to better understand how to effectively involve and engage the public in big data research.<h4>International registered report identifier (irrid)</h4>RR2-https://doi.org/10.1136/bmjopen-2021-050167.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | PPI, big data, co-design, coproduction, data science, engagement, involvement, patient and public involvement, patient engagement |
| Divisions: | Faculty of Health and Life Sciences Faculty of Humanities and Social Sciences Faculty of Humanities and Social Sciences > School of the Arts Faculty of Humanities and Social Sciences > School of Law and Social Justice Faculty of Health and Life Sciences > Institute of Population Health |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 07 Nov 2024 15:00 |
| Last Modified: | 08 Dec 2024 12:01 |
| DOI: | 10.2196/56673 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3187133 |
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