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Do No Harm Guide: Applying Equity Awareness in Data Visualization

By Urban Institute
Added: September 3, 2021
LearnPartner Content

Urban Institute | Jonathan Schwabish, Alice Feng 

Resource Summary 

This guide discusses how to use an equity lens in every step of the data process: from data collection to presentation. The authors interviewed 20 individuals who approach inclusivity in their data communication to compile best practices, some of which include:  

  • Use person-first language
  • Order labels and responses purposefully (e.g. listing by magnitude of results, not “men” and/or “white” racial and gender breakdowns first by default)
  • Carefully consider colors, icons, and shapes and their ability to reinforce stereotypes (e.g. blue/pink for specific genders)
  • Consider missing groups (i.e. what groups disappear when data is aggregated)
  • Actively solicit feedback from, and compensate, communities represented in the data

Overall, it is important to focus on the individuals and communities behind the data points obtained through analysis and presentation. Consider how communities represented will perceive their portrayal in order to apply empathy in practice. This guide also includes a diversity, equity and inclusion in data visualization checklist to apply to your own data visualizations.

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Written by:
Kelli Sheppard
Published on:
September 3, 2021

Resource Information

Author: Urban Institute
Audience: Clinical
Type: Report
Category: Equity, Use of Data / Evaluation
Dimension: Learn
Topics: Communication, Community, Data, Equity, Evidence-based
MHLIC is committed to providing reliable, accurate resources that will increase the user’s knowledge and/or ability to improve the state of maternal health in the United States. Some of the resources may be primarily informational and others may be oriented more towards capacity-building to implement a program or action. Many will be a blend of the two. Read our full terms and disclaimer here.

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This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number U7CMC33636 State Maternal Health Innovation Support and Implementation Program Cooperative Agreement. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS, or the U.S. Government.
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