Considerations for Capturing of Race, Ethnicity, and Gender Data

Actions

Export to: EndNote

This file is not currently in any collections.

Resource type(s): Support of Research
Keyword: race
ethnicity
gender
inclusion
research
analysis
data capture
Rights: Attribution-ShareAlike 3.0 United States
Creator: Ciolino, Jody Dyan
Kershaw, Kiarri N.
Contributor: Northwestern Universitys Department of Preventive Medicines Working Group on Response to Structural Racism
Abstract: The Department of Preventive Medicines (DPM) Working Group on Response to Structural Racism in Research surveyed multiple data dictionaries within DPM and beyond (e.g., Feinberg School of Medicine [FSM], United States Census, and the National Institutes of Health [NIH] reporting requirements). We assessed common practice and aggregated ideas from these sources to develop these considerations for best practices when capturing relevant demographic variables in Human Subjects Research. These considerations serve as guidelines and recommendations. They are not binding in any way. We recognize research studies each have unique needs, and there is no single set of best practices that would apply to all studies.
Related URL: https://doi.org/10.18131/g3-5sa2-wb83
Publisher: DigitalHub. Galter Health Sciences Library & Learning Center
Date Created: 2022-01-21
Language: English
Subject: MESH: Data Analysis
Ethnic and Racial Minorities
Gender Identity
Data Collection
DOI: 10.18131/g3-j4wr-gf57