'Raw Data' is an Oxymoron [Audiobook] download free by Lisa Gitelman

'Raw Data' is an Oxymoron Audiobook download free by Lisa Gitelman
  • Listen audiobook: 'Raw Data' is an Oxymoron
  • Author: Lisa Gitelman
  • Release date: 2013/4/5
  • Publisher: MIT PRESS LTD
  • Language: English
  • Genre or Collection: Technology and Engineering
  • ISBN: 9780262518284
  • Rating: 8.1 of 10
  • Votes: 308
  • Review by: Ariel Larson
  • Review rating: 9.91 of 10
  • Review Date: 2018/11/3
  • Duration: 2H21M23S in 256 kbps (38.4 MB)
  • Date of creation of the audiobook: 2018-09-01
  • You can listen to this audiobook in formats: FLAC, WAV, MP3, MPEG4, WMA, OGG (compression IMG, CPIO, ZIP, TGZ, RAR)
  • Total pages original book: 192
  • Includes a PDF summary of 20 pages
  • Duration of the summary (audio): 13M7S (4 MB)
  • Description or summary of the audiobook: Episodes in the history of data, from early modern math problems to today's inescapable 'dataveillance,' that demonstrate the dependence of data on culture.We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes (where peta- denotes a quadrillion, or a thousand trillion). Data collection is constant and even insidious, with every click and every 'like' stored somewhere for something. This book reminds us that data is anything but 'raw,' that we shouldn't think of data as a natural resource but as a cultural one that needs to be generated, protected, and interpreted. The book's essays describe eight episodes in the history of data from the predigital to the digital. Together they address such issues as the ways that different kinds of data and different domains of inquiry are mutually defining; how data are variously 'cooked' in the processes of their collection and use; and conflicts over what can-or can't-be 'reduced' to data. Contributors discuss the intellectual history of data as a concept; describe early financial modeling and some unusual sources for astronomical data; discover the prehistory of the database in newspaper clippings and index cards; and consider contemporary 'dataveillance' of our online habits as well as the complexity of scientific data curation. Essay AuthorsGeoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, Lisa Gitelman, Steven J. Jackson, Virginia Jackson, Markus Krajewski, Mary Poovey, Rita Raley, David Ribes, Daniel Rosenberg, Matthew Stanley, Travis D. Williams
  • Other categories, genre or collection: Data Capture & Analysis, Research Methods: General, History Of Engineering & Technology, Computer Science
  • Download servers: Hotfile, Torrent, FreakShare, Google Drive, 4Shared, Openload, Pixeldrain, Krakenfiles, MEGA. Compressed in IMG, CPIO, ZIP, TGZ, RAR
  • Format: Paperback
  • Approximate value: 33.88 USD
  • Dimensions: 178x229x13mm
  • Weight: 408g
  • Printed by: MIT Press
  • Published in: Cambridge, Mass., United States

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