Building a Dataviz Design System for a Medical Research Project

RMedicine 2023 | Lightening talk

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June 8, 2023

A dataviz design system is a bespoke set of colours, fonts, and rules, which can be combined to create data visualisations with a consistent aesthetic, taking into account colour semantics, accessibility, and design principles to help the stories in the data stand out.

This lightening talk gives a “behind-the-scenes” glimpse of what was involved in creating a dataviz design system, and implementing it as an R package, for the Ophelia research project, led by Dr Claire Meek.

The end product was a bespoke R package — {ophelia} — which the team can install from a private GitHub repo and use to easily create publication-ready Ophelia-styled graphs, ensuring a clear visual identity across authors, papers, reports and conference talks.

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This is about so much more than pretty graphs. Aside from saving time deciding which colours and fonts to use, and repeatedly testing for clarity and accessibility, a dataviz design system brings a consistent visual identity to the visualisations associated with a project across all the different publication outlets.

When implemented as an R package, a dataviz design system allows a team in which people are able to create a basic ggplot to create publication-ready plots with just two extra lines of code. You can read the package documentation here to see a few examples of how to create plots using this package.

These are one of my favourite things to create, combining creativity with constraints to help data-driven teams maximise the visual impact of their work. If you’d like to find out more about the process, feel free to get in touch at hello@cararthompson.com. I’d love to hear from you!

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For attribution, please cite this work as:
Thompson, Cara. 2023. “Building a Dataviz Design System for a Medical Research Project.” June 8, 2023. https://www.cararthompson.com/talks/rmedicine2023-dataviz-design-system.