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British Wildlife

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British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

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Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

"Raw Data" is an Oxymoron

By: Lisa Gitelman(Editor)
192 pages, 10 plates with colour photos and colour illustrations; 16 b/w illustrations
Publisher: MIT Press
NHBS
Episodes in the history of data, from early modern math problems to today’s inescapable “dataveillance,” that demonstrate the dependence of data on culture
"Raw Data" is an Oxymoron
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  • ISBN: 9780262518284 Paperback Mar 2013 Usually dispatched within 6 days
    £31.99
    #204692
Price: £31.99
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About this book

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.

"Raw Data" is an Oxymoron 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. "Raw Data" is an Oxymoron'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 author inlcude: Geoffrey 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

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Biography

Lisa Gitelman is Professor of English and Media, Culture, and Communication at New York University. She is the coeditor of New Media, 1710-1915 (2003) and author of Always Already New: Media, History, and the Data of Culture (2006), both published by the MIT Press.

By: Lisa Gitelman(Editor)
192 pages, 10 plates with colour photos and colour illustrations; 16 b/w illustrations
Publisher: MIT Press
NHBS
Episodes in the history of data, from early modern math problems to today’s inescapable “dataveillance,” that demonstrate the dependence of data on culture
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