As data becomes more integral to research publications, the question of how to display the data obviously but unobtrusively to the reader becomes more difficult. Academic Publishers are looking for technologies that allow them to bridge the data gap between publication and research data deposits easily.

In this presentation, OUP reports on a pilot project with IT Services to convert originally static data visualizations within publications into rich, interactive and explorative tools. The R web framework Shiny was used to allow researchers to develop the interactive tools themselves, negating the need for expensive dedicated web developers, and providing the ability to pull data directly from data repositories such as Figshare.

OUP will continue to build on the lessons learned from this project and hopes to work with more researchers to build interactive data visualizations to accompany their publications.