Training 6: Accessibility for data visualisation - introduction

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Welcome to the “Accessibility for data visualisation” training!

In this introduction, I will walk you through the topics that will be covered in the training, so you will have a good idea what to expect. I will also explain the educational approach of the training and will give you all the practical information you need to follow and complete the training.

Educational approach

This training is set up to be a fully remote and asynchronous training.

A fully remote training means that the trainer and the participants do not meet physically during the training. Participants can follow the training from anywhere, as long as they have access to a computer and an internet connection.

An asynchronous training means that the trainer and the participants, apart from not sharing the same geographical space, are also separated in time. The training is set up in a way so that participants can follow the training at their own pace, and during the time that suits them best.

The training is not fully asynchronous, as you can tell from this live session: currently, we are in one of the few synchronous parts of the training. We will have a few more of these at the end of the training on Friday.

But most of the training will be asynchronous. The training is split up into modules, that you can follow in your own time and at your own pace. The training contains the following types of modules:

• Live sessions, like the one we are in right now. The live sessions are used for modules that benefit from live contact. In this session to goal is to meet each other and to make sure that all participants understand the training mechanics and can get started properly. Other live sessions in this training or for receiving feedback on assignments, and at the end of the training, we will also have a live closing session of the training.
• Readings are online articles that explain concepts and elements relevant to the training topic. Because this is a training on data visualisation, these readings will be rich in visuals and will contain many example visualisations.
• Video lectures are used for training topics that benefit more from being shown than being explained. This is the case for demonstration of techniques and tools, for example.
• Exercises, like quizzes, are small modules used to make sure that participants have a good understanding of a training topic. Exercises require participants to have completed particular other modules in the training.
• Assignments are modules in which participants are given a task that they need to submit. Usually these are scheduled towards the end of the training, and are meant to bring the knowledge gained in the training into practice.

We will discuss the training schedule and the modules of this training later in this session. But each module has an estimate of the duration to complete the module. All together, the duration of all modules in the training amounts to 16 hours. The training runs from the start of this live session to the end of the closing session on Friday afternoon next week.

This means that participants have 10 working days to complete the modules of the training. They can schedule the modules at their own likings, but apart from the schedule of the live sessions, there are some deadlines to be met during the training (see further).

Accessibility and data visualisation?

To create accessible data visualisations, we first need to understand what accessibility is. So the first modules of this training introduce the general concept of accessibility. They also introduce web accessibility and web accessibility guidelines and they briefly discusses EU legislation on web accessibility.

Applying some of the web accessibility guidelines to data visualisation leads to some best practices regarding the use of fonts sizes, of colours, of chart titles and more. But data visualisation is a very specific interface between a viewer and data, and not all aspects of data visualisation are covered well by the already established accessibility guidelines. So for accessible data visualisation, some additional accessibility principles are introduced.

Part of accessible (online) data visualisation is technical in nature (see below), but part of it is also non-technical, and deals with the design of a chart and making a chart understandable. The use of colour is an important aspect of it: a significant part of the population does not perceive all colours well, so picking colour safe palettes is important for accessibility. By using text on a visualisation, like the title of a chart, annotations and additional explanations, you can make the life of your viewers as easy as possible to understand a visualisation, and to take away its key message.