Involvement and engagement of seldom-heard communities in big data research.
Objectives Public involvement and engagement have been growing within big data research. However, seldom heard voices such as migrant and ethnic minorities communities are often underrepresented. This study explored how Polish and South Asian communities in the United Kingdom could be better include...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2022-08-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/1891 |
| _version_ | 1827616688365895680 |
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| author | Piotr Teodorowski Saiqa Ahmed Naheed Tahir Kate Fleming Sarah Rodgers Lucy Frith |
| author_facet | Piotr Teodorowski Saiqa Ahmed Naheed Tahir Kate Fleming Sarah Rodgers Lucy Frith |
| author_sort | Piotr Teodorowski |
| collection | DOAJ |
| description | Objectives
Public involvement and engagement have been growing within big data research. However, seldom heard voices such as migrant and ethnic minorities communities are often underrepresented. This study explored how Polish and South Asian communities in the United Kingdom could be better included in public involvement and engagement activities.
Approach
We conducted semi-structured interviews with Polish (n=20) and South Asians (n=20) to elicit their views on big data research, public involvement and engagement. We focused on Polish and South Asian communities as they represent some of the United Kingdom’s largest migrant and ethnic minority groups. Data were analysed using inductive thematic analysis. Public advisors were involved in the analysis. They and one of the researchers come from ethnic minority and offered insider insight into participants' perspectives and thus allowing us to unpick the complexity of experiences and backgrounds.
Results
The majority of participants were willing to become involved or engaged in big data research. However, we found there were multiple barriers to involvement, these included: language (especially for those for whom English is the second language); use of jargon by researchers; time restrictions and unfamiliarity with big data or public involvement. Some participants questioned how much migrants could be involved when they were only in the United Kingdom on a temporary basis. The participants made recommendations for how researchers can mitigate these barriers. Awareness-raising activities would allow people to expand their understanding and build their confidence when speaking about big data research in a second language. Participants spoke of the need for researchers to work more closely with local communities, especially with local gatekeepers.
Conclusions
The results indicate that there is no ‘right’ way to involve and engage seldom heard communities around big data research. Researchers need to engage with communities, establish trust and develop a long-lasting relationships. These partnerships should move beyond single projects and aim to benefit both researchers and seldom heard communities.
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| first_indexed | 2024-03-09T09:30:34Z |
| format | Article |
| id | doaj.art-00c1d14071aa43809ed73ef3ca17c0d8 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:30:34Z |
| publishDate | 2022-08-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-00c1d14071aa43809ed73ef3ca17c0d82023-12-02T03:51:49ZengSwansea UniversityInternational Journal of Population Data Science2399-49082022-08-017310.23889/ijpds.v7i3.1891Involvement and engagement of seldom-heard communities in big data research.Piotr Teodorowski0Saiqa Ahmed1Naheed Tahir2Kate Fleming3Sarah Rodgers4Lucy Frith5University of LiverpoolARC NWC Public AdvisorARC NWC Public AdvisorNHS DigitalUniversity of LiverpoolUniversity of ManchesterObjectives Public involvement and engagement have been growing within big data research. However, seldom heard voices such as migrant and ethnic minorities communities are often underrepresented. This study explored how Polish and South Asian communities in the United Kingdom could be better included in public involvement and engagement activities. Approach We conducted semi-structured interviews with Polish (n=20) and South Asians (n=20) to elicit their views on big data research, public involvement and engagement. We focused on Polish and South Asian communities as they represent some of the United Kingdom’s largest migrant and ethnic minority groups. Data were analysed using inductive thematic analysis. Public advisors were involved in the analysis. They and one of the researchers come from ethnic minority and offered insider insight into participants' perspectives and thus allowing us to unpick the complexity of experiences and backgrounds. Results The majority of participants were willing to become involved or engaged in big data research. However, we found there were multiple barriers to involvement, these included: language (especially for those for whom English is the second language); use of jargon by researchers; time restrictions and unfamiliarity with big data or public involvement. Some participants questioned how much migrants could be involved when they were only in the United Kingdom on a temporary basis. The participants made recommendations for how researchers can mitigate these barriers. Awareness-raising activities would allow people to expand their understanding and build their confidence when speaking about big data research in a second language. Participants spoke of the need for researchers to work more closely with local communities, especially with local gatekeepers. Conclusions The results indicate that there is no ‘right’ way to involve and engage seldom heard communities around big data research. Researchers need to engage with communities, establish trust and develop a long-lasting relationships. These partnerships should move beyond single projects and aim to benefit both researchers and seldom heard communities. https://ijpds.org/article/view/1891Public involvementPatient involvementPublic engagementQualitativePPISeldom-heard |
| spellingShingle | Piotr Teodorowski Saiqa Ahmed Naheed Tahir Kate Fleming Sarah Rodgers Lucy Frith Involvement and engagement of seldom-heard communities in big data research. International Journal of Population Data Science Public involvement Patient involvement Public engagement Qualitative PPI Seldom-heard |
| title | Involvement and engagement of seldom-heard communities in big data research. |
| title_full | Involvement and engagement of seldom-heard communities in big data research. |
| title_fullStr | Involvement and engagement of seldom-heard communities in big data research. |
| title_full_unstemmed | Involvement and engagement of seldom-heard communities in big data research. |
| title_short | Involvement and engagement of seldom-heard communities in big data research. |
| title_sort | involvement and engagement of seldom heard communities in big data research |
| topic | Public involvement Patient involvement Public engagement Qualitative PPI Seldom-heard |
| url | https://ijpds.org/article/view/1891 |
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