Big Data - Open Data : Quelles Valeurs ? Quels Enjeux ? 2015
DOI: 10.3917/dbu.chron.2015.01.0151
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Big Data - Open Data : Quelles valeurs ? Quels enjeux ?

Abstract: Cet article s’intéresse à la datavisualisation dans le contexte d’élargissement de ces pratiques à des utilisateurs non experts, phénomène directement influencé par le développement des phénomènes du Big et de l’Open Data. Partant des principes fondateurs et des connaissances actuelles sur la datavisualisation, nous dégageons les enjeux que cette pratique soulève pour des utilisateurs non experts. Si elle est une nouvelle littératie à développer, quelles sont les composantes de cette compétence info-communicat… Show more

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Cited by 4 publications
(2 citation statements)
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“…In the first one, data visualization translates a big quantity of data into visual information that allows decision-makers to understand a phenomenon in order to take decisions. It provides accuracy and has to be comprehensible by the viewer [2]. From computer graphics at the end of the 20th century to the wide application of digital technology today, the Department of Information Art and Design established by the School of Fine Arts of Tsinghua University (2005) has opened the curtain of looking at the digital world of human existence with artistic and aesthetic thinking.…”
Section: The Source Of Data Art 21 Data Visualizationmentioning
confidence: 99%
“…In the first one, data visualization translates a big quantity of data into visual information that allows decision-makers to understand a phenomenon in order to take decisions. It provides accuracy and has to be comprehensible by the viewer [2]. From computer graphics at the end of the 20th century to the wide application of digital technology today, the Department of Information Art and Design established by the School of Fine Arts of Tsinghua University (2005) has opened the curtain of looking at the digital world of human existence with artistic and aesthetic thinking.…”
Section: The Source Of Data Art 21 Data Visualizationmentioning
confidence: 99%
“…In the first one, data visualization translates a big quantity of data into visual information that allows decision-makers to understand a phenomenon in order to take decisions. It provides accuracy and has to be comprehensible by the viewer (Arruabarrena, 2015). It conveys a message or draws patterns hidden in the represented data through metaphors that users can quickly understand.…”
Section: Data Artmentioning
confidence: 99%