Inclusive Insights: Infusing Equity in Data Visualisations
Background
The Digital Governance Standards Institute, in partnership with the Standards Council of Canada, is in the process of developing standards on data governance. These standards also include guidance on Data Equity, which includes data collection and use. The current draft states that data collectors should “ensure that data visualisations promote inclusion and awareness across culturally, linguistically, and racially diverse audiences.” But what does this look like in practice?
Workshop Goal
It is crucial that we as evaluators not only collect data in equitable and ethical manners, but also share that data back in ways that are inclusive, are relevant to diverse stakeholders, and communicate findings that contribute to actions leading to justice and equity.
This interactive workshop will draw from research, known best practices, and real-life examples. Participants will be led through facilitated discussions on data visualisation (DataViz) techniques and be provided with opportunities to critique data visualisations using a Data Equity framework adapted from the four steps to effective DataViz developed by Stephanie Evergreen:
- Understand Your Audience
- Clearly Articulate the Purpose of your DataViz
- Choose the Right Chart
- Refine Your DataViz for Accessibility
Objectives
By the end of the hour, participants will learn how to:
- Use empathy to create DataViz that centres the people behind the data;
- Craft titles that support inclusive and equitable data interpretation and lead the audience to action;
- Recognize if a chart will increase or decrease the chance of racial bias in audiences
- Consider how colour, clutter, and labels can make DataViz more inclusive.
A resource list will also be given to help participants continue their DataViz Equity journeys.
Kris Gowen, Senior Manager Planning Learning and Evaluation, World Education Services
Kris Gowen, PhD, EdM, measures the impact of non-profit organizations using an Equity, Diversity, and Inclusion lens and a deep methodological toolbox that includes quantitative and qualitative approaches. She thrives on turning data chaos into a coherent and compelling story of program impact.
Her extensive evaluation experience spans several sectors including education, mental health, healthcare policy, and clinics that serve low-income communities. Kris centres her work in participatory practices and has worked in partnership with Indigenous communities, refugee youth, and young adults with mental health challenges. When not nose-deep in evaluation, she enjoys karaoke and writing.