The Data Revolution
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The Data Revolution
Big Data, Open Data, Data Infrastructures and Their Consequences

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© 2014 | 240 pages | SAGE Publications Ltd
"Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution in how we think about data."
- Evelyn Ruppert, Goldsmiths, University of London

"Deconstructs the hype around the ‘data revolution’ to carefully guide us through the histories and the futures of ‘big data.’ The book skilfully engages with debates from across the humanities, social sciences, and sciences in order to produce a critical account of how data are enmeshed into enormous social, economic, and political changes that are taking place."
- Mark Graham, University of Oxford

Traditionally, data has been a scarce commodity which, given its value, has been either jealously guarded or expensively traded.  In recent years, technological developments and political lobbying have turned this position on its head. Data now flow as a deep and wide torrent, are low in cost and supported by robust infrastructures, and are increasingly open and accessible. 

A data revolution is underway, one that is already reshaping how knowledge is produced, business conducted, and governance enacted, as well as raising many questions concerning surveillance, privacy, security, profiling, social sorting, and intellectual property rights. 

In contrast to the hype and hubris of much media and business coverage, The Data Revolution provides a synoptic and critical analysis of the emerging data landscape.  Accessible in style, the book provides:
  • A synoptic overview of big data, open data and data infrastructures
  • An introduction to thinking conceptually about data, data infrastructures, data analytics and data markets
  • Acritical discussion of the technical shortcomings and the social, political and ethical consequences of the data revolution
  • An analysis of the implications of the data revolution to academic, business and government practices
 
Chapter 1: Conceptualising Data
What are data?  
Kinds of data  
Data, information, knowledge, wisdom  
Framing data  
Thinking critically about databases and data infrastructures  
Data assemblages and the data revolution  
 
Chapter 2: Small Data, Data Infrastructures and Data Brokers
Data holdings, data archives and data infrastructures  
Rationale for research data infrastructures  
The challenges of building data infrastructures  
The challenges of building data infrastructuresData brokers and markets  
 
Chapter 3: Open and Linked Data
Open data  
Linked data  
The case for open data  
The economics of open data  
Concerns with respect to opening data  
 
Chapter 4: Big Data
Volume  
Exhaustive  
Resolution and indexicality  
Relationality  
Velocity  
Variety  
Flexibility  
 
Chapter 5: Enablers and Sources of Big Data
The enablers of big data  
Sources of big data  
Directed Data  
Automated data  
Volunteered data  
 
Chapter 6: Data Analytics
Pre-analytics  
Machine learning  
Data mining and pattern recognition  
Data visualisation and visual analytics  
Statistical analysis  
Prediction, simulation and optimization  
 
Chapter 7: The Governmental and Business Rationale for Big Data
Governing people  
Managing organisations  
Leveraging value and producing capital  
Creating better places  
 
Chapter 8: The Reframing of Science, Social Science and Humanities Research
The fourth paradigm in science?  
The re-emergence of empiricism  
The fallacies of empiricism  
Data-driven science  
Computational social sciences and digital humanities  
 
Chapter 9: Technical and Organisational Issues
Deserts and deluges  
Access  
Data quality, veracity and lineage  
Data integration and interoperability  
Poor analysis and ecological fallacies  
Skills and human resourcing  
 
Chapter 10: Ethical, Political, Social and Legal Concerns
Data shadows and dataveillance  
Privacy  
Data security  
Profiling, social sorting and redlining  
Secondary uses, control creep and anticipatory governance  
Modes of governance and technological lock-ins  
 
Chapter 11: Making Sense of the Data Revolution
Understanding data and the data revolution  
Researching data assemblages  
Final thoughts  

Kitchin’s powerful, authoritative work deconstructs the hype around the ‘data revolution’ to carefully guide us through the histories and the futures of ‘big data.’ The book skilfully engages with debates from across the humanities, social sciences, and sciences in order to produce a critical account of how data are enmeshed into enormous social, economic, and political changes that are taking place. It challenges us to rethink data, information and knowledge by asking - who benefits and who might be left out; what these changes mean for ethics, economy, surveillance, society, politics; and ultimately, whether big data offer answers to big questions. By tackling the promises and potentials as well as the perils and pitfalls of our data revolution, Kitchin shows us that data doesn’t just reflect the world, but also changes it.

Dr Mark Graham
Oxford Internet Institute, University of Oxford

With a lucid prose and without hyperbole, Kitchin explains the complexities and disruptive effects of what he calls ‘the data revolution’.  The book brilliantly provides an overview of the shifting socio-technical assemblages that are shaping the uses of data today. Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution in how we think about data.

Evelyn Ruppert
Goldsmiths, University of London

An incredibly well written and accessible book which provides readers who will be curious about the buzz around the idea of big data with: (a) an organising framework rooted in social theory (important given the dominance of technical writings) through which to conceptualise big data; (b) detailed understandings of each actant in the various data assemblages with fresh and novel theoretical constructions and typologies of each actant; (c) the contours of a critical examination of big data (whose interests does it serve, where, how and why). These are all crucial developments its seems to me and I think this book will become a trail blazer because of them. This is going to be a biggie citation wise and a seminal work.

Mark Boyle
NIRSA,National University of Ireland, Maynooth

Data has become a new key word for our times. This is just the book I have been waiting for: a detailed and critical analysis that will make us think carefully about how data participate in social, cultural and spatial relations.

Deborah Lupton
University of Canberra

By carefully analysing data as a complex socio-technical assemblage, Rob Kitchin discusses thought-provoking aspects of data as a technical, economic and social construct that are often ignored or forgotten despite the increasing focus on data production and usage in contemporary life. This book unpacks the complexity of data as elements of knowledge production, and not only provide readers from a variety of disciplinary areas with useful conceptual framings, but  also with a challenging set of open issues to be further explored and engaged with as the “data revolution” progresses.

Luigina Ciolfi
Sheffield Hallam University

Sample Materials & Chapters

The Data Revolution: Preface

The Data Revolution: Conceptualising Data


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