Big data is not about size: when data transform scholarship
“Big data” discussions typically focus on scale, i.e. the problems and potentials inherent in very large collections. Here, we argue that the most important consequences of “big data” for scholarship stem not from the increasing size of datasets, but instead from a loss of control over the sources o...
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| Hlavní autoři: | , , , |
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| Médium: | Chapter |
| Jazyk: | Inglês |
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Éditions de la Maison des sciences de l’homme
2017
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| On-line přístup: | https://doi.org/10.4000/books.editionsmsh.9103 https://hdl.handle.net/20.500.13089/2fmk https://books.openedition.org/editionsmsh/9103 |
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