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Disaggregating data by race allows for more accurate research

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  • Rhonda Vonshay Sharpe

    (Founder and President of the Women’s Institute for Science, Equity and Race)

Abstract

The term ‘women of colour’ was introduced as a symbol of political solidarity, but its evolution to a biological term encompassing all non-white women has resulted in aggregation of data from diverse ethnic groups. Breaking out statistics by race, ethnicity and gender is therefore crucial for researchers who are committed to inclusion, argues Rhonda V. Sharpe.

Suggested Citation

  • Rhonda Vonshay Sharpe, 2019. "Disaggregating data by race allows for more accurate research," Nature Human Behaviour, Nature, vol. 3(12), pages 1240-1240, December.
    • Handle: RePEc:nat:nathum:v:3:y:2019:i:12:d:10.1038_s41562-019-0696-1
    DOI: 10.1038/s41562-019-0696-1
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    Cited by:

    1. Huwe, Vera, 2021. "Whose streets? Justice in transport decarbonization and gender," ifso working paper series 13, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    2. Jill J. McCluskey, 2022. "Nutrition access, income, and race," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 493-501, March.

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