This report explains how data practitioners have historically fallen short in data collection, application, and representation, leading to lasting harm and distrust of researchers and fewer pathways for advancement in data fields. It also contains recommendations for researchers and data analysts seeking to create work that is not only more equitable and inclusive, but also more likely to be embraced by the people who are best positioned to use it in their lives and in their communities.
Do No Harm Guide: Additional Perspectives on Data Equity