DDJ Literature Explorer launched

21. April 2016, by Robert Gutounig

The interactive tool to explore the research literature on data journalism was presented today by Julian Ausserhofer at the Nordic Data Journalism Conference in Helsinki. It helps to navigate through a carefully selected set of research papers and to find out more about the development of the research concerning this rather young field of study.

Different categories like development over time, type of publications etc. can be selected and visualized. In addition results from an accompanying qualitative content analysis have been included in the database and enable for example filtering the geographical scope of the analyzed studies. By extracting and visualizing the references mentioned in the papers the most influential works can be identified.

The building of the tool is a part of the VALiD project´s aim to investigate current workflows in data journalism. Michael Oppermann from the University of Vienna has developed the tool together with the ValiD project team. We are thankful to receive feedback concerning our research and the application for further development.

You can find the DDJ Literature Explorer here: http://literature.validproject.at


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Help us develop our code on GitHub:

netflower – Visual exploration of flows in dynamic networks
mtdb2 – Visual exploration of media transparency data