Bültmann & Gerriets
The Data Revolution
A Critical Analysis of Big Data, Open Data and Data Infrastructures
von Rob Kitchin
Verlag: SAGE Publications
E-Book / EPUB
Kopierschutz: Adobe DRM


Speicherplatz: 10 MB
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ISBN: 978-1-5297-6511-3
Auflage: Second Edition
Erschienen am 22.09.2021
Sprache: Englisch

Preis: 47,99 €

Inhaltsverzeichnis
Klappentext

Part 1: Approaching Data
Chapter 1: Introducing Data
Chapter 2: Critical Data Studies
Part 2: The Transformed Data Landscape
Chapter 3: Small Data and Data Infrastructures
Chapter 4: Big Data
Chapter 5: Open and Linked Data
Part 3: Knowledge Production, Epistemology and Methodology
Chapter 6: Data Analytics
Chapter 7: The Epistemology of Academic Research
Chapter 8: Practicing Critical Data Studies
Part 4: The Utility and Value of Data
Chapter 9: Business
Chapter 10: Government and Public Services
Chapter 11: Civil Society
Part 5: Concerns and Risks in a Data-Driven World
Chapter 12: Access, Quality and Interoperability
Chapter 13: Datafication, Dataveillance and Privacy
Chapter 14: Data Capitalism
Chapter 15: Governance, Governmentality and Citinzenship
Chapter 16: Data Security
Part 6: Towards a Fairer Data World
Chapter 17: Data Ethics and Data Governance
Chapter 18: Data Justice and Data Activisim
Chapter 19: Being Mindful of Data



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.


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