The data revolution : big data, open data, data infrastructures & their consequences

  title={The data revolution : big data, open data, data infrastructures \& their consequences},
  author={Rob Kitchin},
  • R. Kitchin
  • Published 18 August 2014
  • Computer Science, Business, Sociology
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… 
Book Review The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences
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  • Computer Science
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  • 2015
Rob Kitchin’s The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences is a timely volume that knits together research and perspectives on the twenty-first century data
Utilizing big data analytics for information systems research: challenges, promises and guidelines
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Data analytics, particularly the current rhetoric around “Big Data”, tend to be presented as new and innovative, emerging ahistorically to revolutionize modern life. In this article, we situate one
Ecological views of big data: Perspectives and issues
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Big Data and Policy Making: Between Real Time Management and the Experimental Dimension of Policies
By considering the cycle of the policy process, the policy making activities the pilots are experiencing, and the data they are processing, the paper shows how the pilot cases are internalizing the policy experimentation opportunity, addressing the further pilots’ activities, into a continuous policy adaptation cycle.
The big data system, components, tools, and technologies: a survey
This paper aims to present a generalized view of complete big data system which includes several stages and key components of each stage in processing the big data, and systematically investigates big data tools and technologies including distributed/cloud-based stream processing tools in a comparative approach.
Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services
  • M. Swan
  • Computer Science
    2015 IEEE First International Conference on Big Data Computing Service and Applications
  • 2015
Overall a Philosophy of Big Data might helpful in conceptualizing and realizing big data science as a service practice, and also in transitioning to data-rich futures with human and data entities more productively co-existing in mutual growth and collaboration.
The value of Big Data in government: The case of ‘smart cities’
The emergence of Big Data has added a new aspect to conceptualizing the use of digital technologies in the delivery of public services and for realizing digital governance. This article explores, via
The big data divide and its consequences
Recent advances in technology and the increasing volumes of data that they enable have led to a wave of scholarly and popular attention to big data. While big data is often heralded for its ability
Revisiting IS research practice in the era of big data
A research approach is proposed that incorporates consideration of big data—and associated implications such as data abundance—into a classic approach to building and testing theory, and the implications for the organization, execution, and evaluation of theory-informed research are discussed.