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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Markus Krajewski is Associate Professor of Media History at the Bauhaus University, Weimar. He is a developer of the bibliographic software Synapsen: A Hypertextual Card Index (www.verzetteln.de/synapsen)
Geoffrey C. Bowker is Professor and Director of the Evoke Lab at the University of California, Irvine. He is the coauthor (with Susan Leigh Star) of Sorting Things Out: Classification and Its Consequences and the author of Memory Practices in the Sciences, both published by the MIT Press.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Very Good. 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 AuthorsGeoffrey 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. N° de réf. du vendeur 00106015019
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Good. 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 AuthorsGeoffrey 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. N° de réf. du vendeur 00110212756
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Very Good. 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 AuthorsGeoffrey 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. N° de réf. du vendeur CIN0262518287VG
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Good. 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 AuthorsGeoffrey 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. N° de réf. du vendeur CIN0262518287G
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Vendeur : Better World Books Ltd, Dunfermline, Royaume-Uni
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Vendeur : BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Allemagne
Softcover. Etat : gut. 2013. Raw Data Is an Oxymoron (Infrastructures) In englischer Sprache. pages. N° de réf. du vendeur BN555427
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