The Data Revolution

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.

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.

Auteur
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.

Contenu

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