Do No Harm Guide: Additional Perspectives on Data Equity
When created with intention, data-based research can present a rich tapestry of evidence. Each data point a length of yarn, intertwining to present an engaging visual reflection of the research. But without enough high-quality yarn, enough colors and lengths, enough time spent weaving, or enough consideration of the final design from the start, the tapestry will have holes, tears, and lopsided edges. Worst of all, it will not accurately convey the intended design.
Do No Harm Guide: Additional Perspectives on Data Equity, we handed the pen to data experts and practitioners whose voices have been traditionally underrepresented. As with the original guide, the lessons within this accompanying volume are not meant to be prescriptive—rather, they should inspire greater thoughtfulness and consideration in data work.