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European, Mediterranean, and Middle Eastern Conference on Information Systems

EMCIS 2018: Information Systems pp 91–105Cite as

Parliamentary Open Big Data: A Case Study of the Norwegian Parliament’s Open Data Platform

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

Abstract

The paper presents a case study on the use of open big data in the Norwegian Parliament. A set of policy documents was examined to find motivation for publishing open data. The case study was based on an examination of the parliament website, combined with document studies and interviews. The paper concludes that third parties have used open data to create new applications that generate value for their users. Applying our findings to the open government benchmarking framework, we identify some national barriers and possible solutions to further promote the use and publication of open data.

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Notes

  1. 1.

    www.europeandataportal.eu.

  2. 2.

    https://github.com/holderdeord.

  3. 3.

    https://github.com/eiriks/samstemmer.

  4. 4.

    http://briatte.org/parlviz/stortinget/.

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Author information

Authors and Affiliations

  1. University of South-Eastern Norway, Kongsberg, Norway

    Lasse Berntzen, Rania El-Gazzar & Marius Rohde Johannessen

Authors
  1. Lasse Berntzen
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  2. Rania El-Gazzar
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  3. Marius Rohde Johannessen
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Corresponding author

Correspondence to Lasse Berntzen .

Editor information

Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. University of Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Berntzen, L., El-Gazzar, R., Johannessen, M.R. (2019). Parliamentary Open Big Data: A Case Study of the Norwegian Parliament’s Open Data Platform. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_9

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11394-0

  • Online ISBN: 978-3-030-11395-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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