This guide was developed in response to librarians fielding multiple requests from UMN researchers looking to incorporate anti-racism into their research practices. This guide shares racist research systems and practices, followed by resources for mitigating those problematic systems and practices, but we wholeheartedly acknowledge that this guide is not a "solution" to the issues of racism embedded in research.

Categories: Tools & Trainings
Tags: analytic tools, antiracist methods, artificial intelligence, community engagement, community-driven research, data democratization, data equity, data governance, data quality, data sources, data visualization, decolonizing methods, diversity, open access, open science, peer review, research design, structural racism, translation dissemination & implementation, workforce diversity
Author: Amy Reigelman, Shanda Hunt, Soph Myers-Kelley, University of Minnesota Library
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