001412385 000__ 03385cam\a2200517Ka\4500 001412385 001__ 1412385 001412385 003__ MaCbMITP 001412385 005__ 20240325105222.0 001412385 006__ m\\\\\o\\d\\\\\\\\ 001412385 007__ cr\cn\nnnunnun 001412385 008__ 130228s2013\\\\mauaf\\\ob\\\\001\0\eng\d 001412385 020__ $$a0262312328$$q(electronic bk.) 001412385 020__ $$a9780262312325$$q(electronic bk.) 001412385 020__ $$z9780262518284 001412385 020__ $$z0262518287 001412385 0243_ $$a9780262312325 001412385 035__ $$a(OCoLC)828680027$$z(OCoLC)1006960791$$z(OCoLC)1058790900$$z(OCoLC)1077906697$$z(OCoLC)1086457201 001412385 035__ $$a(OCoLC-P)828680027 001412385 040__ $$aOCoLC-P$$beng$$epn$$cOCoLC-P 001412385 050_4 $$aQ355$$b.R385 2013eb 001412385 08204 $$a001.4$$223 001412385 24500 $$a"Raw data" is an oxymoron /$$cedited by Lisa Gitelman. 001412385 260__ $$aCambridge, Massachusetts :$$bThe MIT Press,$$c[2013] 001412385 300__ $$a1 online resource (vi, 182 pages, 10 unnumbered pages of plates) :$$billustrations (some color). 001412385 336__ $$atext$$btxt$$2rdacontent 001412385 337__ $$acomputer$$bc$$2rdamedia 001412385 338__ $$aonline resource$$bcr$$2rdacarrier 001412385 4901_ $$aInfrastructures series 001412385 506__ $$aAccess limited to authorized users. 001412385 5208_ $$aWe 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. 001412385 588__ $$aOCLC-licensed vendor bibliographic record. 001412385 650_0 $$aInformation theory. 001412385 650_0 $$aDatabases. 001412385 650_0 $$aData transmission systems. 001412385 650_0 $$aData warehousing. 001412385 653__ $$aINFORMATION SCIENCE/General 001412385 653__ $$aINFORMATION SCIENCE/Internet Studies 001412385 653__ $$aSCIENCE, TECHNOLOGY & SOCIETY/History of Technology 001412385 655_0 $$aElectronic books 001412385 7001_ $$aGitelman, Lisa,$$eeditor. 001412385 852__ $$bebk 001412385 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/9302.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct 001412385 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 001412385 909CO $$ooai:library.usi.edu:1412385$$pGLOBAL_SET 001412385 980__ $$aBIB 001412385 980__ $$aEBOOK 001412385 982__ $$aEbook 001412385 983__ $$aOnline