This article explores the existing research literature on data journalism. Over the past years, this emerging journalistic practice has attracted significant attention from researchers in different fields and produced an increasing number of publications across a variety of channels. To better understand its current state, we surveyed the published academic literature between 1996 and 2015 and selected a corpus of 40 scholarly works that studied data journalism and related practices empirically. Analyzing this corpus with both quantitative and qualitative techniques allowed us to clarify the development of the literature, influential publications, and possible gaps in the research caused by the recurring use of particular theoretical frameworks and research designs. This article closes with proposals for future research in the field of data-intensive newswork.

Zur Zeit gibt es starke Bemühungen, die offensichtlichen Defizite des wissenschaftlichen Kommunikationssystems zu beheben. Open Science hat das Potenzial, die Produktion und Verbreitung von wissenschaftlichem Wissen positiv zu verändern; es existiert aber keine gemeinsam geteilte Vision, die das System wissenschaftlicher Kommunikation beschreibt, welches wir erschaffen wollen. Zwischen April 2015 und Juni 2016 trafen sich in Wien die Mitglieder der Open Access Network Austria (OANA) Arbeitsgruppe "Open Access and Scholarly Communication", um diese Angelegenheit zu diskutieren. Das Hauptergebnis unserer Überlegungen sind zwölf Prinzipien, die die Eckpfeiler eines künftigen wissenschaftlichen Kommunikationssystems dedarstellen. Diese Prinzipien sollen einen kohärenten Bezugsrahmen für die Debatte zur Verbesserung des derzeitigen Systems liefern. Mit diesem Dokument hoffen wir, eine breite Diskussion über eine gemeinsame Vision für die wissenschaftliche Kommunikation im 21. Jahrhundert anzustoßen.

Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four‐year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network data for story‐finding. The visual metaphor is based on Sankey diagrams and has been extended to make it capable of processing large amounts of input data as well as network change over time. We followed a structured, iterative design process including requirement analysis and multiple design and prototyping iterations in close cooperation with journalists. To validate our concept and prototype, a workshop series and two diary studies were conducted with journalists. Our findings indicate that the prototype can be picked up quickly by journalists and valuable insights can be achieved in a few hours. The prototype can be accessed at: http://netflower.fhstp.ac.at/

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