First Things First: Teaching Data Journalism as a Core Skill

Abstract

When journalists publish work based on data, they often appear to be working with secondary sources, such as leaked internal corporate communications or information derived from publicly available Internet sources. However, they are relying on a source of information that varies greatly from other secondary sources. Among the differences is the process by which the data is verified, particularly given that datasets are often very large and unprocessed. How, for example, does a journalist determine the authenticity of data such as The Paradise Papers, the largest leak in history, where more than 13.4 million files revealed the workings of the tax haven industry? The issue of authenticity is further complicated by the processes journalists use to prepare data for delivery to a wide audience. In this article, the authors describe how the model of critical reflection (Sheridan Burns, 2002, 2013) can be used to develop data literacy in first year journalism students as the first step in developing their sense of efficacy in dealing with the complexities of data journalism. Using a scenario based on a large, easily accessible dataset, the authors provide a model through which students can come to understand working with data as a core journalism skill. The model draws on Schon’s (1983) theory of reflective practice, which posits that professionals think by doing and on what Schon calls ‘the conversations we have with ourselves’.