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
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
  • Drew Paine
  • Computer Science
    Computer Supported Cooperative Work (CSCW)
  • 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
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The big data system, components, tools, and technologies: a survey
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Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services
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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.
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The big data divide and its consequences
Any work on big data and the big data divide needs to engage with a more broad-based notion of digital inequalities to be better equipped to handle the complex issues above, as well as the material, democratic, and identity problems that big data bring about.