Do No Harm Guide; Additional Perspectives on Data Equity

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This Do No Harm Guide by The Urban Institute provides best practices for data researchers to prevent perpetuating stereotypes, biases, and other types of harm. It offers guidelines for chart design language, data ordering, color palettes, and data group.

“The guide went beyond data visualization alone, discussing many other equally important aspects for working with and communicating data in equitable ways. These include critically examining data; engaging in lived experiences; building diverse and inclusive data teams; seeking feedback on data products; and acknowledging how “gatekeepers,” such as funders, journal editors, and government agencies, affect the data process.”