How to create compelling scientific data visualisations

Data form the backbone of the scientific method, but it can be impenetrable. In the penultimate episode of this six-part Working Scientist podcast series about art-science collaborations, Julie Gould talks to artists and data visualisation specialists about how they interpret and present data in art forms ranging from music to basket weaving.

Keep things simple wherever possible, agree Duncan Ross, chief data officer at the Times Higher Education publication, and James Bayliss, an interaction and visualisation analyst at Springer Nature. “My go-to tool is a pen and paper or coloured pencils,” says Bayliss. “Start slow and don't get too complicated too fast.”

Akshat Rathi, a senior climate reporter at Bloomberg News, describes how he used data to visualise the devastating impact of a 2015 earthquake in Nepal for an article in the business title Quartz.

And Nathalie Miebach, a basketware artist who created a reed sculpture based on daily weather data she had collected in Provincetown, Massachusetts, says that translating data into artwork brings up all sorts of biases and expectations.

Finally, Rebecca Fiebrink, a classically-trained musician with a PhD in computer science who now works as professor at the Creative Computing Institute at the University of the Arts, London, agrees. “Any kind of data analysis itself is creative, right?” she asks.

Each episode in this series concludes with a follow-up sponsored slot from the International Science Council (ISC). The ISC is seeking perspectives from science fiction authors on how science can meet societal challenges, ranging from climate change and food security to the disruption caused by artificial intelligence.

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