Data Benefits: Attitudes and aspirations of benefit recipients in Scotland towards data sharing

ObjectivesThe reuse of administrative data has the potential to transform public services. However, there remains limited evidence on the views of affected communities towards the sharing and linking of their data. Our research aimed to gather attitudes of one such group: those in receipt of benefits. MethodsWe ran seven deliberative focus groups at community centres in Edinburgh, speaking to 37 individuals in receipt of benefits. These focus groups discussed four data sharing scenarios that were co-produced with stakeholders from the public sector, academia and the third sector. Our four scenarios included three scenarios of data sharing for the administration of benefits (one of which currently happens), and one scenario based on sharing of Scottish social security data for academic research (i.e. for data linkage). These events were followed up by two community discussion events which were open to the general public. ResultsAll participants were familiar with the idea of ‘personal data’, and spoke about various kinds of data sharing that already happens with their data. While some expressed trust, most participants strongly distrusted agencies and their ability to keep their data safe and use it in ways that would benefit them or be proportionate. Despite this, when discussing the four scenarios, participants did outline some advantages. These were that data sharing could: help ensure those who were entitled to benefits received them; make benefits easier to receive; and facilitate research for the public good. Nonetheless, participants all expressed concerns about the data sharing scenarios. In particular, there was considerable concern about the lack of choice or consent, and that certain communities’ data were being disproportionately used. ConclusionsOur research demonstrates the importance of talking to affected communities in ways that are grounded in specific scenarios rather than general attitudes (as views often change depending on the context). It also highlights the interest these communities have in being consulted and involved in discussions around data sharing and linkage.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i3.2996
Primary Topic
Data Analysis and Archiving
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Benefits: Attitudes and aspirations of benefit recipients in Scotland towards data sharing

Morgan E. Currie, Vicky Gorton
International Journal for Population Data Science
Data Analysis and Archiving
article

Data Benefits: Attitudes and aspirations of benefit recipients in Scotland towards data sharing

Morgan E. Currie, Vicky Gorton
article en

Abstract

ObjectivesThe reuse of administrative data has the potential to transform public services. However, there remains limited evidence on the views of affected communities towards the sharing and linking of their data. Our research aimed to gather attitudes of one such group: those in receipt of benefits. MethodsWe ran seven deliberative focus groups at community centres in Edinburgh, speaking to 37 individuals in receipt of benefits. These focus groups discussed four data sharing scenarios that were co-produced with stakeholders from the public sector, academia and the third sector. Our four scenarios included three scenarios of data sharing for the administration of benefits (one of which currently happens), and one scenario based on sharing of Scottish social security data for academic research (i.e. for data linkage). These events were followed up by two community discussion events which were open to the general public. ResultsAll participants were familiar with the idea of ‘personal data’, and spoke about various kinds of data sharing that already happens with their data. While some expressed trust, most participants strongly distrusted agencies and their ability to keep their data safe and use it in ways that would benefit them or be proportionate. Despite this, when discussing the four scenarios, participants did outline some advantages. These were that data sharing could: help ensure those who were entitled to benefits received them; make benefits easier to receive; and facilitate research for the public good. Nonetheless, participants all expressed concerns about the data sharing scenarios. In particular, there was considerable concern about the lack of choice or consent, and that certain communities’ data were being disproportionately used. ConclusionsOur research demonstrates the importance of talking to affected communities in ways that are grounded in specific scenarios rather than general attitudes (as views often change depending on the context). It also highlights the interest these communities have in being consulted and involved in discussions around data sharing and linkage.

International Journal for Population Data ScienceVol. 10(4)
University of Edinburgh (GB)
Openalex Percentile: Top 70%
Data Analysis and Archiving
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.