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Raw Data Is an Oxymoron (Infrastructures),Used
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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 canor can'tbe 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
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- Q: What is the main theme of 'Raw Data Is an Oxymoron (Infrastructures)'? A: The book explores the cultural dependence of data, arguing that data is not a natural resource but a cultural one that needs to be generated, protected, and interpreted.
- Q: Who are the authors of the essays in this book? A: The essays are contributed by various authors including Geoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, and Lisa Gitelman, among others.
- Q: How many pages does this book have? A: The book contains 182 pages.
- Q: What is the publication date of this book? A: The book was published on January 1, 2013.
- Q: What is the binding type of this book? A: The book is available in paperback binding.
- Q: Can this book help me understand data collection practices? A: Yes, the book addresses various data collection practices and discusses how data is influenced by cultural and contextual factors.
- Q: Is this book suitable for someone new to data studies? A: Yes, the essays provide a historical context and address foundational concepts, making it accessible for newcomers to data studies.
- Q: What topics are covered in the essays of this book? A: Topics include the intellectual history of data, financial modeling, astronomical data sources, and contemporary issues in dataveillance.
- Q: Are there any specific case studies mentioned in the book? A: Yes, the book describes eight episodes in the history of data, which can be seen as case studies in understanding data's evolution.
- Q: What is the condition of the book listed for sale? A: The book is listed in Mint condition.