Can new and alternative data sources, formats and methods help to improve the inclusivity of survey data? |
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| Coordinator 1 | Ms Gerry Nicolaas (The National Centre for Social Research) |
| Coordinator 2 | Dr Debbie Collins (the National Centre for Social Research) |
Data inclusivity or data equity refers to the principles and practices that ensure fair and just treatment of all individuals and communities in the collection, analysis, interpretation and distribution of data.
In the context of survey research, it goes beyond the efforts made to achieve a ‘representative’ sample. While a representative sample aims to reflect key demographics of a population, data equity also implies that the data practices themselves are just and inclusive, considering the broader social and ethical implications.
The need for more inclusive and granular data is growing, especially as we strive to better understand and serve diverse populations. However, surveys struggle to capture the full spectrum of identities and experiences due to budgetary constraints, limitations in sampling frames and methods, and our failure to effectively engage with marginalized and disadvantaged groups.
The panelists will discuss the challenges in producing inclusive survey data. They will explore how new and alternative data sources, formats, methods and practices can be used to improve the inclusivity of survey data. They will also consider how surveys themselves can be used to improve the inclusivity of statistics based on other data sources. And finally, they will reflect on the implications for the future of survey practice.
Audience Q&A: The panel discussion will be followed by an audience Q&A session, providing an opportunity for attendees to engage with the panelists, ask questions, and share their perspectives on data inclusivity in survey research.
Keywords: inclusive/inclusiveness/inclusivity, data equity, hard-to-get groups, rare populations, accessibility, participatory research
Note to reviewers: We have already reached out to potential panelists who have agreed in principle, including Veronique Siegler from the UK Office for National Statistics and Mike Dennis or David Dutwin from NORC (tbc). We are planning for 4-5 panel members in