Raw Data Is an Oxymoron (Paperback)

Lisa Gitelman

  • 出版商: MIT
  • 出版日期: 2013-01-25
  • 售價: $1,520
  • 貴賓價: 9.8$1,490
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Paperback
  • ISBN: 0262518287
  • ISBN-13: 9780262518284
  • 相關分類: 大數據 Big-dataData Science
  • 立即出貨 (庫存=1)

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商品描述

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

商品描述(中文翻譯)

我們生活在大數據時代,儲存和傳輸能力不僅以TB計算,而是以PB計算(其中peta表示千兆兆)。數據收集是持續且潛在的,每一次點擊和每一個「讚」都被儲存在某個地方。這本書提醒我們,數據絕非「原始」的,我們不應該將數據視為自然資源,而應該將其視為一種需要產生、保護和解釋的文化資源。這本書的文章描述了從預數位時代到數位時代的八個數據歷史事件。它們共同探討了不同類型的數據和不同領域的研究如何相互定義;數據在收集和使用過程中如何被「加工」;以及關於什麼可以或不可以被「歸納」為數據的衝突。作者們討論了數據作為一個概念的知識史;描述了早期的金融建模和一些不尋常的天文數據來源;發現了報紙剪報和索引卡中數據庫的前身;並考慮了我們在線習慣的當代「數據監控」以及科學數據管理的複雜性。

文章作者: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