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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.
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.
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).
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.
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.
A timely intervention of critical reflection into the hyperbolic and fast-paced developments in the gathering, analysis and workings of ‘big data’. This excellent book diagnoses the technical, ethical and scientific challenges raised by the data revolution, sounding a clarion for critical reflections on the promise and problematic of the data revolution.
Much talk of big data is big hype. Different phenomena dumped together, a dearth of definitions and little discussion of the complex relationships that give rise to and shape big data practices sums it up. Rob Kitchin puts us in his debt by cutting through the cant and offering not only a clear analysis of the range, power and limits of big data assemblages but a pointer to the crucial social, political and ethical issues to which we should urgently attend. Read this book.
Data matter and have matter, and Rob Kitchin thickens this understanding by assembling the philosophical, social scientific, and popular media accounts of our data-based living. That the give and take of data is increasingly significant to the everyday has been the mainstay of Kitchin’s long and significant contribution to a critical technology studies. In The Data Revolution, he yet again implores us to think beyond the polemical, to signal a new generation of responsive and responsible data work.
Professor Rob Kitchin’s overview of “the data revolution” is the best monograph we have discovered on open and big data. It defines the issues of open and big data and the potential consequences of the data revolution. In a balanced way, and without the hyperbole of trade press books on big data, Kitchin explains that the data revolution has implications for governance, management of business, and even understanding of science and knowledge.
Rob Kitchin, The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences has that Ground Truth level of impact feeling to it, and I strongly urge anyone with an interest in geospatial technologies, GIS, mapping, data, cartography, mashups, and related topics to read this book. Could easily be justified as the #1 book for the year.
Published in 2014, this is an ideal guide to the essentials of what is DATA; what we are currently doing with it that is fundamentally different than in the past; and finally speculation and ramifications of both BIG and OPEN DATA for information systems. Broken into several chapters... it occurs to me that this is the perfect outline for a complete overhaul of a DATA Lecture I’ve tried to sandwich between Intro to Vector and Raster Model Lectures!
Kitchin’s latest book invites the reader to think critically and conceptually about data. [...] The clear and measured writing style and logical progression of the chapters directs the reader through a balanced discussion of the so-called data revolution. The book is well referenced with in-text citations and an extensive reference list with which to seek further reading. This fact, along with its accessible style, lucid prose, and comprehensive coverage of diverse topics that the data revolution brings to light, make it a valuable text for anyone working within this area.
The Data Revolution is one of the first systematic attempts to strip back the hype surrounding our current data deluge and take stock of what is really going on... The book acts as a helpful wayfinding device in an unfamiliar terrain, which is still being reshaped, and is admirably written in a language relevant to social scientists, comprehensible to policy makers and accessible even to the less tech savvy among us....
Kitchin’s The Data Revolution is absolutely recommendable and provides a sober account of the interaction between society and big data. Kitchin avoids the hubris and speculation often found in literature about big data to focus on big data’s logic. [It] would serve as [an] ideal book in introductory graduate courses that deal with data and information in any capacity.
A sober, nuanced and inspiring guide to big data with the highest signal to noise ratio of any book in the field.
This is a path-breaking book. Rob Kitchin has long been one of the leading figures in the conceptualisation and analysis of new forms of data, software and code. This book represents an important step-forward in our understanding of big data. It provides a grounded discussion of big data, explains why they matter and provides us with a framework to analyse their social presence. Anyone who wants to obtain a critical, conceptually honed and analytically refined perspective on new forms of data should read this book.
Rob Kitchin’s timely, clear, and vital book provides a much needed critical framework. He explains that our ontologies of data, or how we understand what data are; our epistemologies of data, or how we conceive of data as units of truth, fact, or knowledge; our analytic methodologies, or the techniques we use to process that data; and our data apparatuses and institutions, or the tools and (often huge, heavy, and expensive) infrastructures we use to sort and store that data, are all entwined.
Kitchin paints a nuanced and complex picture of the unfolding data landscape. Through a critique of the deepening technocratic, often corporate led, development of our increasingly data driven societies, he presents an alternative perspective which illuminates the contested, and contestable, nature of this acutely political and social terrain.
The Data Revolution has that Ground Truth-level of impact feeling to it, and I strongly urge anyone with an interest in geospatial technologies, GIS, mapping, data, cartography, mashups, and related topics to read this book. Could easily be justified as the #1 book for the year
Kitchin’s The Data Revolution is essential reading for anyone dealing with data. It is an extremely well informed and reflective book that is comprehensive in scope. Kitchin convincingly argues how data analysis is always imbued with prior knowledge, assumptions about causation, and interpretations based on these. … I hope you will findThe Data Revolution to be a useful recommendation for your own, and your students’, reading lists
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