To unlock the full potential of data, researchers and analysts must consider and apply equity at every step of the research process. Ensuring responsible data collection, representing the communities surveyed accurately, and incorporating community input whenever possible will lead to more equitable data analyses and visualizations. Although there is no one-size-fits-all approach to working with data, for researchers to truly do no harm, they must build their work on a foundation of empathy. This article details three ways you can make your data analysis and communication more equitable and inclusive.

Categories: Grey Literature
Tags: data equity, data visualization, decolonizing methods, equity, information design, structural racism
Author: Alice Feng, Jonathan Schwabish
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