'To me, it's ones and zeros, but in reality that one is death': A qualitative study exploring researchers' experience of involving and engaging seldom‐heard communities in big data research. (24th January 2023)
- Record Type:
- Journal Article
- Title:
- 'To me, it's ones and zeros, but in reality that one is death': A qualitative study exploring researchers' experience of involving and engaging seldom‐heard communities in big data research. (24th January 2023)
- Main Title:
- 'To me, it's ones and zeros, but in reality that one is death': A qualitative study exploring researchers' experience of involving and engaging seldom‐heard communities in big data research
- Authors:
- Teodorowski, Piotr
Rodgers, Sarah E.
Fleming, Kate
Tahir, Naheed
Ahmed, Saiqa
Frith, Lucy - Abstract:
- Abstract: Background: Big data research requires public support. It has been argued that this can be achieved by public involvement and engagement to ensure that public views are at the centre of research projects. Researchers should aim to include diverse communities, including seldom‐heard voices, to ensure that a range of voices are heard and that research is meaningful to them. Objective: We explored how researchers involve and engage seldom‐heard communities around big data research. Methods: This is a qualitative study. Researchers who had experience of involving or engaging seldom‐heard communities in big data research were recruited. They were based in England ( n = 5), Scotland ( n = 4), Belgium ( n = 2) and Canada ( n = 1). Twelve semistructured interviews were conducted on Zoom. All interviews were audio‐recorded and transcribed, and we used reflexive thematic analysis to analyse participants' experiences. Results: The analysis highlighted the complexity of involving and engaging seldom‐heard communities around big data research. Four themes were developed to represent participants' experiences: (1) abstraction and complexity of big data, (2) one size does not fit all, (3) working in partnership and (4) empowering the public contribution. Conclusion: The study offers researchers a better understanding of how to involve and engage seldom‐heard communities in a meaningful way around big data research. There is no one right approach, with involvement andAbstract: Background: Big data research requires public support. It has been argued that this can be achieved by public involvement and engagement to ensure that public views are at the centre of research projects. Researchers should aim to include diverse communities, including seldom‐heard voices, to ensure that a range of voices are heard and that research is meaningful to them. Objective: We explored how researchers involve and engage seldom‐heard communities around big data research. Methods: This is a qualitative study. Researchers who had experience of involving or engaging seldom‐heard communities in big data research were recruited. They were based in England ( n = 5), Scotland ( n = 4), Belgium ( n = 2) and Canada ( n = 1). Twelve semistructured interviews were conducted on Zoom. All interviews were audio‐recorded and transcribed, and we used reflexive thematic analysis to analyse participants' experiences. Results: The analysis highlighted the complexity of involving and engaging seldom‐heard communities around big data research. Four themes were developed to represent participants' experiences: (1) abstraction and complexity of big data, (2) one size does not fit all, (3) working in partnership and (4) empowering the public contribution. Conclusion: The study offers researchers a better understanding of how to involve and engage seldom‐heard communities in a meaningful way around big data research. There is no one right approach, with involvement and engagement activities required to be project‐specific and dependent on the public contributors, researchers' needs, resources and time available. Patient and Public Involvement: Two public contributors are authors of the paper and they were involved in the study design, analysis and writing. … (more)
- Is Part Of:
- Health expectations. Volume 26:Number 2(2023)
- Journal:
- Health expectations
- Issue:
- Volume 26:Number 2(2023)
- Issue Display:
- Volume 26, Issue 2 (2023)
- Year:
- 2023
- Volume:
- 26
- Issue:
- 2
- Issue Sort Value:
- 2023-0026-0002-0000
- Page Start:
- 882
- Page End:
- 891
- Publication Date:
- 2023-01-24
- Subjects:
- big data -- PPI -- public engagement -- public involvement -- qualitative -- seldom‐heard
Medical policy -- Periodicals
Public health -- Periodicals
Health planning -- Periodicals
362.105 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=hex ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1369-7625 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/hex.13713 ↗
- Languages:
- English
- ISSNs:
- 1369-6513
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4275.015545
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26288.xml