a project for Fight The Stroke

If we are not counted, how do we count?

What happens when a country's data strategy overlooks minorities and more vulnerable people? Disabled Data makes disability statistics visible, accessible and reusable.

the challenge

Data? What data?

National data on disability is often discontinued, inconsistent, not machine-readable and collected through sample surveys. The result is approximate and often inaccurate figures.

It is also hard to reach: we calculated that rebuilding a single dataset takes on average 85 clicks and 20 downloaded tables. Accessibility is not just about meeting web standards, but about making resources truly available to those who need them.

Data? What data? — If we are not counted, how do we count? by Sheldon.studio
the idea

All the data, one click away

Disabled Data makes all the data available in a click.

With onData, we thought about how to open the data to a broader audience and, above all, how the project could foster data literacy and a debate on more accurate collection and organisation of data by national bodies.

Slide 1
how

As many facets as possible

The data is too discontinuous for a single, interconnected dashboard. So we chose to show as many facets as possible: individual widgets, each telling a specific story, together covering the complexity of the phenomenon.

impact

Data people can use

Every figure is now visible, easy to understand and easy to download. In a few clicks, charts can be downloaded or shared on any platform.

Disabled Data supports the work of journalists, policymakers and social workers, but also media producers and creators, helping to fill the internet with meaningful, informed content.

accessibility

The data is accessible. What about the charts?

We considered accessibility for the charts too. Our preliminary research showed that very few projects translate a chart for visually impaired users.

So we designed an algorithm that automatically writes a description of each chart from its data. Below, a chart on the left and the text a screen reader narrates on the right.

and you?

Data that leaves someone out?

Making data accessible means designing for everyone who needs it. Do you need to visualize your data too? We're here.

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Think we can help?

Let's talk! 🤙

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