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Produktbild: Data Revolution

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

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.08.2014

Verlag

Sage Publications

Seitenzahl

240

Maße (L/B/H)

24.1/15.9/2 cm

Gewicht

481 g

Sprache

Englisch

ISBN

978-1-4462-8747-7

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.08.2014

Verlag

Sage Publications

Seitenzahl

240

Maße (L/B/H)

24.1/15.9/2 cm

Gewicht

481 g

Sprache

Englisch

ISBN

978-1-4462-8747-7

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Die Leseprobe wird geladen.
  • Produktbild: Data Revolution
  • 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