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Big data, little data, no data

scholarship in the networked world
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Author: Search for this author Borgman, Christine L. (author)
Year: [2015]
Publisher: Cambridge, MA, London, MIT Press
Media group: Ausleihbestand
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Branch: Hauptstelle Locations: FO-20 233 Status: borrowed Reservations: 0 Due date: 1/1/2199 Barcode: 00305910 Floor plans: Floor plan Lending note:

Content

An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities.
 
¿Big Data¿ is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data¿because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.
 
Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure¿an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation¿six ¿provocations¿ meant to inspire discussion about the uses of data in scholarship¿Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

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Details

Author: Search for this author Borgman, Christine L. (author)
Statement of Responsibility: Christine L. Borgman
Year: [2015]
Publisher: Cambridge, MA, London, MIT Press
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Classification: Search for this systematic FO-20, MA-20
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ISBN: 9780262028561
ISBN (2nd): 0262529912
Description: 2. [printing], xxv, 383 Seiten
Tags: Forschungsdatenmanagement; Datenverarbeitung
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Language: Englisch
Original title: Big data, little data, no data
Media group: Ausleihbestand