Big data, little data, no data scholarship in the networked world

Big data, little data, no data scholarship in the networked world

"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 da...

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Bibliographic Details
Main Author: Borgman, Christine L. 1951- (Author)
Format: Unknown
Language:English
Published: Cambridge, Massachusetts The MIT Press 2015
Subjects:
Communication in learning and scholarship > Technological innovations
Research > Methodology
Research > Data processin
Information technology
Information storage and retrieval systems
Cyberinfrastructure
Online Access:Click Here to View Status and Holdings.
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100 1 # |a Borgman, Christine L.  |d 1951-  |e author 
245 1 0 |a Big data, little data, no data  |b scholarship in the networked world  |c Christine L. Borgman 
264 # 1 |a Cambridge, Massachusetts  |b The MIT Press  |c 2015 
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336 # # |a text  |2 rdacontent 
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504 # # |a Includes bibliographical references (pages 289-360) and index 
505 0 # |a Provocations -- What are data? -- Data scholarship -- Data diversity -- Data scholarship in the sciences -- Data scholarship in the social sciences -- Data scholarship in the humanities -- Sharing, releasing, and reusing data -- Credit, attribution, and discovery of data -- What to keep and why to keep them 
520 # # |a "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. 
526 0 # |a IMC7XX  |b IM770  |5 IM 
526 0 # |a Seminar on Information Science  |b Master of Science in Information Management (FLP Mode)  |5 Faculty of Information Management 
650 # 0 |a Communication in learning and scholarship  |x Technological innovations 
650 # 0 |a Research  |x Methodology 
650 # 0 |a Research  |x Data processin 
650 # 0 |a Information technology 
650 # 0 |a Information storage and retrieval systems 
650 # 0 |a Cyberinfrastructure 
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