Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model
Introduction Involving public contributors helps researchers to ensure that public views are taken into consideration when designing and planning research, so that it is person-centred and relevant to the public. This paper will consider public involvement in big data research. Inclusion of differe...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2023-07-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/2130 |
| _version_ | 1797420625931796480 |
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| author | Piotr Teodorowski Sarah E. Rodgers Kate Fleming Naheed Tahir Saiqa Ahmed Lucy Frith |
| author_facet | Piotr Teodorowski Sarah E. Rodgers Kate Fleming Naheed Tahir Saiqa Ahmed Lucy Frith |
| author_sort | Piotr Teodorowski |
| collection | DOAJ |
| description |
Introduction
Involving public contributors helps researchers to ensure that public views are taken into consideration when designing and planning research, so that it is person-centred and relevant to the public. This paper will consider public involvement in big data research. Inclusion of different communities is needed to ensure everyone's voice is heard. However, there remains limited evidence on how to improve the involvement of seldom-heard communities in big data research.
Objectives
This study aims to understand how South Asians and Polish communities in the UK can be encouraged to participate in public involvement initiatives in big data research.
Methods
Forty interviews were conducted with Polish (n=20) and South Asian (n=20) participants on Zoom. The participants were living in the United Kingdom and had not previously been involved as public contributors. Transcribed interviews were analysed using reflexive thematic analysis.
Results
We identified eight themes. The 'happy to reuse data' theme sets the scene by exploring our participants' views towards big data research and under what circumstances they thought that data could be used. The remaining themes were mapped under the capability-opportunity-motivation-behaviour (COM-B) model, as developed by Michie and colleagues. This allowed us to discuss multiple factors that could influence people's willingness to become public contributors.
Conclusions
Our study is the first to explore how to improve the involvement and engagement of seldom-heard communities in big data research using the COM-B model. The results have the potential to support researchers who want to identify what can influence members of the public to be involved. By using the COM-B model, it is possible to determine what measures could be implemented to better engage these communities.
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| first_indexed | 2024-03-09T07:04:13Z |
| format | Article |
| id | doaj.art-692a27d51bd34f789f75029f46670113 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T07:04:13Z |
| publishDate | 2023-07-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-692a27d51bd34f789f75029f466701132023-12-03T09:45:02ZengSwansea UniversityInternational Journal of Population Data Science2399-49082023-07-018110.23889/ijpds.v8i1.2130Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B modelPiotr Teodorowski0Sarah E. Rodgers1Kate Fleming2Naheed Tahir3Saiqa Ahmed4Lucy Frith5Department of Public Health, Policy & Systems, University of Liverpool, Liverpool, UK, L69 3GBDepartment of Public Health, Policy & Systems, University of Liverpool, Liverpool, UK, L69 3GBNational Disease Registration Service, NHS England, Leeds, West Yorkshire, LS1 4APARC NWC Public Advisor, Liverpool, UK, L69 3GBARC NWC Public Advisor, Liverpool, UK, L69 3GBCentre for Social Ethics and Policy, University of Manchester, Manchester, UK, M13 9QQ Introduction Involving public contributors helps researchers to ensure that public views are taken into consideration when designing and planning research, so that it is person-centred and relevant to the public. This paper will consider public involvement in big data research. Inclusion of different communities is needed to ensure everyone's voice is heard. However, there remains limited evidence on how to improve the involvement of seldom-heard communities in big data research. Objectives This study aims to understand how South Asians and Polish communities in the UK can be encouraged to participate in public involvement initiatives in big data research. Methods Forty interviews were conducted with Polish (n=20) and South Asian (n=20) participants on Zoom. The participants were living in the United Kingdom and had not previously been involved as public contributors. Transcribed interviews were analysed using reflexive thematic analysis. Results We identified eight themes. The 'happy to reuse data' theme sets the scene by exploring our participants' views towards big data research and under what circumstances they thought that data could be used. The remaining themes were mapped under the capability-opportunity-motivation-behaviour (COM-B) model, as developed by Michie and colleagues. This allowed us to discuss multiple factors that could influence people's willingness to become public contributors. Conclusions Our study is the first to explore how to improve the involvement and engagement of seldom-heard communities in big data research using the COM-B model. The results have the potential to support researchers who want to identify what can influence members of the public to be involved. By using the COM-B model, it is possible to determine what measures could be implemented to better engage these communities. https://ijpds.org/article/view/2130PPIpublic involvementqualitativebig dataethnic minorities |
| spellingShingle | Piotr Teodorowski Sarah E. Rodgers Kate Fleming Naheed Tahir Saiqa Ahmed Lucy Frith Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model International Journal of Population Data Science PPI public involvement qualitative big data ethnic minorities |
| title | Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model |
| title_full | Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model |
| title_fullStr | Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model |
| title_full_unstemmed | Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model |
| title_short | Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model |
| title_sort | exploring how to improve the involvement of polish and south asian communities around big data research a qualitative study using com b model |
| topic | PPI public involvement qualitative big data ethnic minorities |
| url | https://ijpds.org/article/view/2130 |
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