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Data science on the ground: Hype, criticism, and everyday work

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  • Daniel Carter
  • Dan Sholler

Abstract

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Suggested Citation

  • Daniel Carter & Dan Sholler, 2016. "Data science on the ground: Hype, criticism, and everyday work," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2309-2319, October.
  • Handle: RePEc:bla:jinfst:v:67:y:2016:i:10:p:2309-2319
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    File URL: http://hdl.handle.net/10.1002/asi.23563
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    Cited by:

    1. Yin Zhang & Dan Wu & Loni Hagen & Il‐Yeol Song & Javed Mostafa & Sam Oh & Theresa Anderson & Chirag Shah & Bradley Wade Bishop & Frank Hopfgartner & Kai Eckert & Lisa Federer & Jeffrey S. Saltz, 2023. "Data science curriculum in the iField," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 641-662, June.
    2. Fred Fonseca, 2021. "Whether or when: The question on the use of theories in data science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(12), pages 1593-1604, December.

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