Data visualisation

Software is making it easier to create data visualisations that are interactive and can be shared via the Web. For example, we can create maps with ArcGIS and QGIS, representations of networks with Gephi, interactive models of complex systems with NetLogo, 3D renderings of large datasets with Blender, statistical insights with RStudio and Shiny, and script libraries such as D3.js.

In this category of OxTALENT we're looking for interactive data visualisations that provide an exploratory experience of research data. Static visualisations provide a singular narrative of a dataset, whereas interactive visualisations allows end users to explore and filter datasets - and to understand the breadth, depth and detail of research output. Remember that the judges will have no experience of your research field.

You are eligible to enter even if you've had professional help, but we ask you to let us know on the entry form what assistance you received. Find out how to enter

However, you don't have to provide your users with a 'glossy' experience. For example, you could simply re-imagine the visualisations already built for your print publications for the web; tool-tips and zooming are very engaging for audiences and not too difficult to develop. You might want to consider visiting the Interactive Data Network (IDN) website for advice and support in hosting interactive visualisations on the Web.

What the judges will look for

Your entry will be assessed in terms of:

  • How clearly you have defined the purpose of the visualisation, including the intended audience.
  • How you designed and implemented the visualisation.
  • The tools you used.
  • The amount and quality of interactivity built into the visualisation.
  • How easy it is for people, including non-researchers, to interact with your visualisation.
  • Evidence of impact: whether¬†people have interacted with the¬†visualisation and provided feedback.
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