I convinced my team to preserve race/ethnic categories with small sample sizes in our analyses. We are proposing this analysis plan in a grant proposal.
Can anyone help me identify a peer-reviewed article that I can use to support this decision in our proposal?
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Hi!
I’m on my phone trying to get my toddler up so don’t have access to my PDF library but one article (albeit an editorial) I find useful is https://jamanetwork.com/journals/jama/articlepdf/2783090/jama_flanagin_2021_ed_210061_1628523987.58592.pdf
Let me know if you’re looking for more.
Chris
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This is something we recently had to weigh while curating a larger data set for public release. Because there was some potentially sensitive/stigma related data a decision was made to remove or aggregate smaller sample size categories (state, race, ethnicity, gender id, etc.). This was what we felt was safest - especially given the granularity of the data collected and some of the details reported. As a data curator/publisher I’m very interested to learn more about this topic and how to do this in a way that both honors privacy, consent, and the right to data about oneself.
Peers of mine have written some really good pieces that relate to this that may be of interest:
- Data Consultations, Racism, and Critiquing Colonialism in Demographic Datasheets
-
Do I Have To Be An “Other” To Be Myself? Exploring Gender Diversity In Taxonomy, Data Collection, And Through The Research Data Lifecycle
-MNO
Edit: there’s also a reply to the article Chris posted that might be useful: https://jamanetwork.com/journals/jama/fullarticle/2783072
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Awesome resources and didn’t see the reply article! Have a great evening!
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These are really good resources! I am going to use them for sure. Thanks 
Can I ask what kinds of analyses you’re doing with these data? I get the why but not always the how. Thank you!
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