- Series: Information Policy
- Paperback: 312 pages
- Publisher: The MIT Press; Reprint edition (October 21, 2016)
- Language: English
- ISBN-10: 0262529483
- ISBN-13: 978-0262529488
- Product Dimensions: 7 x 0.6 x 9 inches
- Shipping Weight: 1.1 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #1,703,373 in Books (See Top 100 in Books)
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Big Data Is Not a Monolith (Information Policy) Paperback – October 21, 2016
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Big data pervades and crosses organizations and domains, posing multiple challenges, yet these challenges are dwarfed by the opportunities and issues posed by big data analytics (BDA). For a researcher working on BDA, this volume opens multiple perspectives on an amazingly rich cross-section of those and explores what to do about them.(Alan Porter, codirector of the Program in Science, Technology & Innovation Policy (STIP), Georgia Tech)
This book combines expertise from different areas of scholarship to give valuable insights into what big data is doing, what it can do, and what it should be allowed to do. It is essential reading for those wishing to understand the widespread societal implications of the big data revolution.(Mike Thelwall, Professor of Information Science, University of Wolverhampton)
Big Data Is Not a Monolith is required reading for those who find themselves in the thrall of big data but want to move beyond the hype to understand the social context of the current big data computerization movement. The collected authors ably grapple with how big data as a socio-technical system contributes to knowledge, shapes human behavior and choices, and has become increasingly integral to our social, legal, political, and economic systems.(Eric T. Meyer, Professor of Social Informatics, University of Oxford; coauthor of Knowledge Machines: Digital Transformations of the Sciences and Humanities)
Well informed (up to date references), well written, an interesting read. This text is highly recommended, for all readers and practitioners with a serious interest in Big Data Analytics (BDA). Simply excellent!(British Computer Society)
About the Author
Cassidy R. Sugimoto is Associate Professor in the School of Informatics and Computing at Indiana University Bloomington and the coeditor of Beyond Bibliometrics (MIT Press). Hamid R. Ekbia is Associate Professor in the Schools of Informatics and Computing, Cognitive Science, and International Studies at Indiana University Bloomington. Michael Mattioli is Associate Professor at the Indiana University Maurer School of Law.
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