000 03357nam a2200529 i 4500
001 6451327
003 IEEE
005 20220712204807.0
006 m o d
007 cr |n|||||||||
008 151223s2013 maua ob 001 eng d
010 _z 2012022465 (print)
020 _a9780262312325
_qelectronic
020 _z9780262518284
_qpaperback
035 _a(CaBNVSL)mat06451327
035 _a(IDAMS)0b00006481caa32f
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQ355
_b.R385 2013eb
082 0 0 _a001.4
_223
245 0 0 _a"Raw data" is an oxymoron /
_cedited by Lisa Gitelman.
246 3 _aRaw data is an oxymoron
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_c[2013]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2013]
300 _a1 PDF (vii, 182 pages) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aInfrastructures series
504 _aIncludes bibliographical references and index.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/23/2015.
650 0 _aInformation theory.
_914256
650 0 _aDatabases.
_94980
650 0 _aData transmission systems.
_96868
650 0 _aData warehousing.
_918766
655 0 _aElectronic books.
_93294
700 1 _aGitelman, Lisa,
_eeditor of compilation.
_923981
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_923982
710 2 _aMIT Press,
_epublisher.
_923983
776 0 8 _iPrint version
_z9780262518284
830 0 _aInfrastructures series
_923984
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6451327
942 _cEBK
999 _c73313
_d73313