Accessible DataViz

Image description guidelines developed by the Carl and Ruth Shapiro Family National Center for Accessible Media at WGBH (NCAM) in conjunction with the DIAGRAM Center (Digital Image And Graphic Resources for Accessible Materials) at Benetech.

Improving accessibility will make your visualizations as understandable as possible for all readers, not just users with disabilities.

Six strategies for making your data visualization accessible, scalable, and helpful

Researchers have developed prototypes of data visualizations that enable blind and low-vision people who use screen readers to more easily explore information and gain deeper insights about chart data. They plan to turn these prototypes into a software tool that could help designers make data visualizations accessible and navigable.

When it comes to designing with data, accessibility is a factor that’s critical to ensuring easy and deep engagement—yet it’s often overlooked. Join us for the first article in a three-part series where we explore accessibility standards as they relate to data visualization in an enterprise context.

10 dos and don'ts for designing accessible data visualizations, including real-life examples and resources

Looking for guidelines to follow in your data viz accessibility journey? This curated list will help to get you to the next level.

Generate colors based on a desired contrast ratio.

In this article, we will explore how an accessibility-first approach can lead you down the path of creating a better visual design for charts. Throughout the article, you’ll learn to use the Web Content Accessibility Standards and how this approach leadd to an unexpected yet better outcome for everyone.

Olli is an open-source library for converting data visualizations into accessible text structures for screen reader users.

A non-exhaustive and in-progress list of people and resources in Accessibility and Data Visualization - GitHub - dataviza11y/resources: A non-exhaustive and in-progress list of people and resources...

Chartability is a set of heuristics (testable questions) for ensuring that data visualizations, systems, and interfaces are accessible. Chartability is organized into principles with testable criteria and focused on creating an outcome that is an inclusive data experience for people with disabilities.