IJPDS International Journal of Population Data Science IJPDS 2399-4908 Swansea University 10.23889/ijpds.v10i3.3322 10:3:001 Visualisation tool for Enhancing Public Engagement Using Supermarket Loyalty Card Data Gorton Vicky 1 Currie Morgan 1 Digital Footprints Lab, University of Bristol, United Kingdom Jean Golding Institute, University of Bristol, United Kingdom 01 06 2025 2025 8 4 2996 This work is licenced under a Creative Commons Attribution 4.0 International License. This article is available from the IJPDS website at: https://ijpds.org/article/view/2996 Data Visualisation Public Outreach Public Engagement Loyalty Card Data Digital Footprints Introduction & Background

The 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.

 Objectives & Approach

This visualization project emerged from a long-standing collaboration with We The Curious science centre in Bristol, UK, which hosted an interactive shopping experience within the Open City Lab. The exhibition sparked public discussions about data donation for the public good. Feedback from the exhibition revealed that many people were unaware they could access their personal data and did not understand its potential value for public health research. We developed the first prototype tool using Streamlit, a python-based package and included four main themes of aggregated data based on these discussions with the public (Spending, Location, Product Categories and Price Changes).

 Relevance to Digital Footprints

This application showcases the power of digital footprint data in an interactive and interpretable way for members of the public. This is vital for future digital footprint research as the publics data is essential for ongoing research into public health.

 Results

Following the creation of the initial prototype, a workshop was hosted with 10 participants. During the two-hour session, participants provided feedback on the application, and a 'Data Hazards Workshop’ was conducted. The main feedback was collected through a structured questionnaire. The questionnaire results indicated that the overall user experience was very high, though improvements could be made by improving the overall navigation of individual graphs. All feedback gained throughout this workshop and the conference will be implemented into the future version of the application.

 Conclusions & Implications

Our future aim is to continue to develop the utility of this tool and make it more widely accessible, to enhance public understanding, build trust, and foster ongoing participation in sharing shopping data for health research.