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The Data Revolution: A Critical Analysis of Big Data, Open Data and Data Infrastructures - Hardcover
Synopsis
Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era.
Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive:
- introduction to thinking conceptually about the nature of data and the field of critical data studies
- overview of big data, open data and data infrastructures
- analysis of the utility and value of big and open data for research, business, government and civil society
- assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them.
"synopsis" may belong to another edition of this title.
About the Author
Rob Kitchin is a Professor in Maynooth University Social Sciences Institute and Department of Geography. He was a European Research Council Advanced Investigator on the Programmable City project (2013-2018) and a principal investigator on the Building City Dashboards project (2016-2020) and for the Digital Repository of Ireland (2009-2017). He is the (co)author or (co)editor of 31 other academic books, and (co)author of over 200 articles and book chapters. He has been an editor of Dialogues in Human Geography, Progress in Human Geography and Social and Cultural Geography, and was the co-Editor-in-Chief of the International Encyclopedia of Human Geography. He was the 2013 recipient of the Royal Irish Academy’s Gold Medal for the Social Sciences.
From the Back Cover
Widely acknowledged as being the first academic text to provide a critical overview of the (big) data revolution and the classification of data which it outlined is now widely used/recognised as the taxonomy in social science. The Data Revolution a canonical text in data studies and the wider social sciences.
"About this title" may belong to another edition of this title.
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The Data Revolution
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear.The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them. 376 pp. Englisch. Seller Inventory # 9781529733761
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them. Seller Inventory # 9781529733761
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The Data Revolution: A Critical Analysis of Big Data, Open Data and Data Infrastructures
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