Race, ethnicity, and considerations for data collection and analysis in research studies.

ABSTRACT: Research studies involving human subjects require collection of and reporting on demographic data related to race and ethnicity. However, existing practices lack standardized guidelines, leading to misrepresentation and biased inferences and conclusions for underrepresented populations in research studies. For instance, sometimes there is a misconception that self-reported racial or ethnic identity may be treated as a biological variable with underlying genetic implications, overlooking its role as a social construct reflecting lived experiences of specific populations. In this manuscript, we use the We All Count data equity framework, which organizes data projects across seven stages: Funding, Motivation, Project Design, Data Collection, Analysis, Reporting, and Communication. Focusing on

SUBMITTER: Sharghi S 

PROVIDER: S-EPMC11626588 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature