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Modéliser la démarche du data journaliste : Une approche nécessairement transdisciplinaire

Abstract : Transdisciplinarity implementation remains a challenge in projects that bring together disciplinary actors while it is essential for modeling complex problems, such as data analysis to produce narratives. In this article, we explain how this approach, applied to the case of data journalism, allowed us upstream to identify a research problem and downstream to build draw a methodology and a common language, in particular through the use of conceptual models. Thanks to its graphic formalizations, this tool, initially thought of as a step for software design, allowed all the actors of the project to build and validate the mode at each stage
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Contributor : Patrick Marcel Connect in order to contact the contributor
Submitted on : Saturday, November 27, 2021 - 1:35:14 PM
Last modification on : Wednesday, January 12, 2022 - 3:27:16 AM


  • HAL Id : hal-03452766, version 1


Marie Chagnoux, Raphael da Silva, Faten El Outa, Nicolas Labroche, Patrick Marcel, et al.. Modéliser la démarche du data journaliste : Une approche nécessairement transdisciplinaire. Information : enjeux et nouveaux défis (H2PTM), Oct 2021, Paris, France. ⟨hal-03452766⟩



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