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
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.
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*
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*
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*
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*
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*
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.
*Sam Kinsley*
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.
*David Lyon*
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. Importantly, he
reminds us of the non-inevitability of data, articulating the
registers within which interventions can and already are being
made. Kitchin offers a manual, a set of operating instructions, to
better grasp and grapple with the complexities of the coming world,
of such a ‘data revolution’.
*Matthew W. Wilson*
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.... The Data Revolution’s main success
lies in clearing a space – cutting out the conjecture and gloss,
the Utopians and the reactionaries pulling in different directions
– and locating a common ground from which to build something.
Read the full review on the Theory, Culture & Society blog.
*David Moats*
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.
*Andrew J. Iliadis*
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.
*Jonathan Cinnamon, University of Exter*
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! Often Introductory GIS courses really don’t consider Geo
Data in depth; much less DATA itself as a stand-alone lecture
topic; so this is a bit of a unorthodox approach, but one whose
time I think has come.
*Geospex.com*
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.
*Place Memes*
A sober, nuanced and inspiring guide to big data with the highest
signal to noise ratio of any book in the field.
*Matthew Fuller, Centre for Cultural Studies*
One of the key contributions of this book is its thorough analysis
of popular and prevalent discourses around big and open data, and
subsequent reflections on the limitations of these
conceptualizations... Ultimately, this book is useful for anyone
with an interest in the present and future of scholarly research
and the role of new technologies in shaping the discourses and
practices of such work, and is almost sure to spur considerable
future research into these pressing issues.
*Taylor Shelton, Graduate School of Geography, Clark
University*
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.
*David Beer, Senior Lecturer in Sociology*
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. And all have profound
political, economic, and cultural implications that we can’t risk
ignoring as we’re led into our "smart," data-driven future.
*Shannon Mattern, Faculty, School of Media Studies*
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.
*Jo Bates, Information School*
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
*Gwilym Eades*
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
*Bettina Berendt*
Scholars new and old in CSCW will benefit from Kitchin’s in-depth
examination of the many facets of long-term and emerging research
in data studies. … The Data Revolution as a volume aims to parse
the landscape of big data as more than a hubristic and hype-driven
rhetorical realm, but rather one that is critically framed and
examined. Here Kitchin succeeds and offers an easily readable
volume that draws on and complements the work of this journal.
Readers immersed in data studies will find many well-known points
succinctly presented. For those less familiar with such work this
is an excellent introduction
*Drew Paine*
Rob Kitchin’s latest book is an important addition to the emerging
field of critical data studies, in that itmanages to both make a
clear, convincing and reasonably detailed case for why it is
necessary to lookcritically at what data are—and, just as
crucially, what they do in the world—and provide
stimulatinginsights and suggestions for further research in this
area.
*Francesca Menichelli, University of Cambridge*
This is an exemplary scholarly book: smart, objective, clear,
concise, well informed, rich in insights, and thought
provoking. Definitely the best ‘general’ overview of big data I
have seen so far.
*Cristian Suteanu, Saint Mary’s University, Halifax, NS,
Canada*
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.
*Chris Hoofnagle, Berkeley Law, University of California*
The purpose of this excellent book is to prove how these
[big] data do not exist independently from the ideas,
techniques, technologies, people and contexts that produce,
process, manage, analyze and store them. Moreover, the author
explores the definition, characteristics and the techniques to
manage big data, but he also focuses his attention on the
challenges of this way of thinking and on how big data are changing
existing epistemology and science.
*Barbara Martini*
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