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Big data, little data, no data : scholarship in the networked world / Christine L. Borgman.

By: Material type: TextTextPublisher: Cambridge, Massachusetts : The MIT Press, 2016Edition: First EditionDescription: xxv, 383 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780262529914 (paperback).
  • 0262529912 (paperback).
Subject(s): DDC classification:
  • 23 004 BOR 012315
LOC classification:
  • AZ195 .B66 2016
Summary: Despite the media hyperbole, as 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. She 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. 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.Other editions: Reproduction of (manifestation):: Borgman, Christine L., 1951- Big data, little data, no data
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Holdings
Item type Current library Call number Status Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore 004 BOR 012315 (Browse shelf(Opens below)) Available 012315

Includes bibliographical references (pages 289-360) and index.

Despite the media hyperbole, as 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. She 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. 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.

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