With great (statistical) power comes great responsibility: A comment on the ethics of using administrative data to investigate marginalised populations

As health data infrastructure improves, we have the opportunity to link increasing volumes of data in order to investigate important health problems. This is perhaps most pertinent when looking at the experiences and outcomes of our most disadvantaged groups, who are often invisible in data obtained through primary research. Whilst these data offer enormous opportunity, there are also ethical implications in their use, which are less frequently discussed than in relation to their qualitative counterparts. As a diverse group of clinicians and academics working across public health, we share our experience and understanding of how we can improve our reflexivity in health data science and ensure that research in this area is ethically conducted in co-production with the people whose data we are using. We discuss the potential opportunities, challenges and impacts of using administrative data to investigate marginalised populations.

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Publication Details

Journal
Big Data & Society
Published
2024-12-01
DOI
https://doi.org/10.1177/20539517241296058
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

With great (statistical) power comes great responsibility: A comment on the ethics of using administrative data to investigate marginalised populations

Helen Minnis, Marion Henderson, Lucy Thompson, Sharon Graham et al.
Big Data & Society
Health disparities and outcomes
article

With great (statistical) power comes great responsibility: A comment on the ethics of using administrative data to investigate marginalised populations

Helen Minnis, Marion Henderson, Lucy Thompson, Sharon Graham, Philip Wilson, Ruchika Gajwani, Christine Puckering, Louise Marryat
article en

Abstract

As health data infrastructure improves, we have the opportunity to link increasing volumes of data in order to investigate important health problems. This is perhaps most pertinent when looking at the experiences and outcomes of our most disadvantaged groups, who are often invisible in data obtained through primary research. Whilst these data offer enormous opportunity, there are also ethical implications in their use, which are less frequently discussed than in relation to their qualitative counterparts. As a diverse group of clinicians and academics working across public health, we share our experience and understanding of how we can improve our reflexivity in health data science and ensure that research in this area is ethically conducted in co-production with the people whose data we are using. We discuss the potential opportunities, challenges and impacts of using administrative data to investigate marginalised populations.

Big Data & SocietyVol. 11(4)
University of Copenhagen (DK), University of Dundee (GB), University of Strathclyde (GB), University of Aberdeen (GB), University of Glasgow (GB)
UK Research and Innovation, Economic and Social Research Council
Industry, innovation and infrastructure
Openalex Percentile: Top 71%
Health disparities and outcomes
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With great (statistical) power comes great responsibility: A comment on the ethics of using administrative data to investigate marginalised populations — Helen Minnis, Marion Henderson, et al. · Big Data & Society (2024) | TGRS Research Map | TGRS