Data Science on the Ground: Hype, Criticism, and Everyday Work

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dc.contributor.authorCarter, Daniel
dc.contributor.authorSholler, Dan
dc.date.accessioned2019-02-12T14:49:09Z
dc.date.available2019-02-12T14:49:09Z
dc.date.issued2016-01
dc.description.abstractModern organizations often employ data scientists to improve business processes using diverse sets of data. Researchers and practitioners have both touted the benefits and warned of the drawbacks associated with data science and big data approaches, but few studies investigate how data science is carried out “on the ground.” In this paper, we first review the hype and criticisms surrounding data science and big data approaches. We then present the findings of semistructured interviews with 18 data analysts from various industries and organizational roles. Using qualitative coding techniques, we evaluated these interviews in light of the hype and criticisms surrounding data science in the popular discourse. We found that although the data analysts we interviewed were sensitive to both the allure and the potential pitfalls of data science, their motivations and evaluations of their work were more nuanced. We conclude by reflecting on the relationship between data analysts' work and the discourses around data science and big data, suggesting how future research can better account for the everyday practices of this profession.
dc.description.departmentJournalism and Mass Communication
dc.description.sponsorshipInstitute of Museum and Library Services. Grant Number: RE‐02‐12‐0009‐12
dc.description.versionThis is the author accepted manuscript version of an article published in the Journal of the Association for Information Science and Technology.
dc.formatText
dc.format.extent21 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationCarter, D., & Sholler, D. (2016). Data science on the ground: Hype, criticism, and everyday work. Journal of the Association for Information Science and Technology, 67(10), pp. 2309-2319.
dc.identifier.doihttps://doi.org/10.1002/asi.23563
dc.identifier.urihttps://hdl.handle.net/10877/7866
dc.language.isoen
dc.publisherWiley-Blackwell
dc.sourceJournal of the Association for Information Science and Technology, 2016, Vol. 67, No. 10, pp. 2309-2319.
dc.subjectbig data
dc.subjectdata work
dc.subjectdata ethics
dc.subjectdata science
dc.subjectJournalism and Mass Communication
dc.titleData Science on the Ground: Hype, Criticism, and Everyday Work
dc.typeArticle

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