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Data journalism is a journalism specialty reflecting the increased role that numerical data is used in the production and distribution of information in the digital era. It reflects the increased interaction between content producers (journalist) and several other fields such as design, computer science and statistics. From the point of view of journalists, it represents "an overlapping set of competencies drawn from disparate fields". Data journalism has been widely used to unite several concepts and link them to journalism. Some see these as levels or stages leading from the simpler to the more complex uses of new technologies in the journalistic process. Designers are not always part of the process, according to author and data journalism trainer Henk van Ess 〔van Ess, Henk and Van der Kaa, Hille (2012). (Handboek Datajournalistiek )〕 "Datajournalism can be based on any data that has to be processed first with tools before a relevant story is possible. It doesn't include visualisation per se" ==Areas covered== # Computer assisted reporting and data-driven journalism, where journalists make use of large databases to produce stories. # Infographics. # Data visualization. # Interactive visualization. # Serious games, in the sense that they take interaction a step further. # Database journalism or structured journalism, an information management system where pieces of information are organized in a database (as opposed to a traditional story-centric organizational structure). 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Data journalism」の詳細全文を読む スポンサード リンク
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