This paper is in the following e-collection/theme issue:

Data Science (270) Innovations in Clinical Trials and Research Data Management (83) Ontologies, Classifications, and Coding (239) Systemic Racism and Racial Bias in Health Care and Society (85)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14591, first published .
Information Loss in Harmonizing Granular Race and Ethnicity Data: Descriptive Study of Standards

Information Loss in Harmonizing Granular Race and Ethnicity Data: Descriptive Study of Standards

Information Loss in Harmonizing Granular Race and Ethnicity Data: Descriptive Study of Standards

Authors of this article:

Karen Wang1, 2 Author Orcid Image ;   Holly Grossetta Nardini3 Author Orcid Image ;   Lori Post4 Author Orcid Image ;   Todd Edwards5 Author Orcid Image ;   Marcella Nunez-Smith1 Author Orcid Image ;   Cynthia Brandt2, 6 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  2. Moorthie S, Peacey V, Evans S, Phillips V, Roman-Urrestarazu A, Brayne C, Lafortune L. A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities. International Journal of Environmental Research and Public Health 2022;19(23):15874 View
  3. Hussain S, Vogel A, Faupel-Badger J, Ho L, Akacem L, Balakrishnan K, Geiger R, Gopal-Srivastava R, Haynes B, Hodges M, Isler T, Mathé E, Misquitta L, Sharma K, Sid E, Zigterman J, Burgoon P. DEIA is essential to advance the goals of translational science: Perspectives from NCATS. Journal of Clinical and Translational Science 2023;7(1) View
  4. Mason M, Khazanchi R, Brewer A, Sheehan K, Liu Y, Post L. Changes in the Demographic Distribution of Chicago Gun-Homicide Decedents From 2015-2021: Violent Death Surveillance Cross-sectional Study. JMIR Public Health and Surveillance 2023;9:e43723 View