Raw data oxymoron (9 résultats)

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.…

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.…

Etat : very_good.

Paperback. Etat : As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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.…

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.…

Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Softcover. Etat : gut. 2013. Raw Data Is an Oxymoron (Infrastructures) In englischer Sprache. pages.