"Raw Data" Is an Oxymoron

Nonfiction, Computers, Database Management, Data Processing, Science & Nature, Technology, Engineering
Cover of the book "Raw Data" Is an Oxymoron by Virginia Jackson, Daniel Rosenberg, Travis D. Williams, Kevin R. Brine, Mary Poovey, Matthew Stanley, Ellen Gruber Garvey, Markus Krajewski, PhD, Rita Raley, David Ribes, Steven J. Jackson, Geoffrey C. Bowker, The MIT Press
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Author: Virginia Jackson, Daniel Rosenberg, Travis D. Williams, Kevin R. Brine, Mary Poovey, Matthew Stanley, Ellen Gruber Garvey, Markus Krajewski, PhD, Rita Raley, David Ribes, Steven J. Jackson, Geoffrey C. Bowker ISBN: 9780262312332
Publisher: The MIT Press Publication: January 25, 2013
Imprint: The MIT Press Language: English
Author: Virginia Jackson, Daniel Rosenberg, Travis D. Williams, Kevin R. Brine, Mary Poovey, Matthew Stanley, Ellen Gruber Garvey, Markus Krajewski, PhD, Rita Raley, David Ribes, Steven J. Jackson, Geoffrey C. Bowker
ISBN: 9780262312332
Publisher: The MIT Press
Publication: January 25, 2013
Imprint: The MIT Press
Language: English

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 Authors
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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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 Authors
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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