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Lessons learned from making data visualisation
  • Lessons learned from making data visualisation

Speed read

  • Data visualisation can stimulate greater research uptake by enabling users to explore data

  • But data visualisation will not inevitably be successful in promoting research

  • A number of conditions are necessary for data visualisation to be effective

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Data visualisation – the visual representation of data in charts and graphs – has grown in popularity in recent years. Media outlets and research communication organisations alike have invested in the production of data visualisation, committing to the belief that visualisation is an effective form of communication.
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While a number of claims have been made around the potential of data visualisation as a communication tool, there has been a relative lack of informed discussion around the role that data visualisation can play in the research communication sector.

This report builds on our experiences of producing data visualisations and in data journalism more broadly, and brings together the lessons we have learned with insights from the broader sector of research communication. What follows will help researchers, research communication managers and journalists to make more informed decisions about when to invest in data visualisations in order to meet research communication goals. 


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