"Raw Data" Is an Oxymoron

作者: Lisa Gitelman

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摘要: We live in the era of Big Data, with storage and transmission capacity measured not just terabytes but petabytes (where peta- denotes a quadrillion, or thousand trillion). Data collection is constant even insidious, every click "like" stored somewhere for something. This book reminds us that data anything "raw," we shouldn't think as natural resource cultural one needs to be generated, protected, interpreted. The book's essays describe eight episodes history from predigital digital. Together they address such issues ways different kinds domains inquiry are mutually defining; how variously "cooked" processes their use; conflicts over what can -- can't "reduced" data. Contributors discuss intellectual concept; early financial modeling some unusual sources astronomical data; discover prehistory database newspaper clippings index cards; consider contemporary "dataveillance" our online habits well complexity scientific curation. Essay authors:Geoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, Lisa Gitelman, Steven J. Jackson, Virginia Markus Krajewski, Mary Poovey, Rita Raley, David Ribes, Daniel Rosenberg, Matthew Stanley, Travis D. Williams

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