Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Parliamentary Open Data in Scandinavia
Univ South Eastern Norway, Norway.
Univ South Eastern Norway, Norway.
Copenhagen Business Sch, Denmark.
Linköping University, Department of Management and Engineering, Information Systems. Linköping University, Faculty of Arts and Sciences.
2019 (English)In: Computers, E-ISSN 2073-431X, Vol. 8, no 3, article id 65Article in journal (Refereed) Published
Abstract [en]

This article presents a case study on the use of open data in the Scandinavian parliaments (Norway, Sweden, and Denmark). While the three countries have all opened the gates and provided access to data-for example, on the voting in parliament, debates, and notes from meetings in committees-the uptake and use of data outside the parliaments is limited. While journalists and academia are users of the open data, hackathons and third-party portals are at an explorative level. Still, there are indicators that hackathons can enhance democracy, and parliamentary data can increase political transparency.

Place, publisher, year, edition, pages
MDPI , 2019. Vol. 8, no 3, article id 65
Keywords [en]
open data; big data; parliament; case study
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-161632DOI: 10.3390/computers8030065ISI: 000487950600018OAI: oai:DiVA.org:liu-161632DiVA, id: diva2:1367879
Available from: 2019-11-05 Created: 2019-11-05 Last updated: 2019-12-13

Open Access in DiVA

fulltext(620 kB)195 downloads
File information
File name FULLTEXT01.pdfFile size 620 kBChecksum SHA-512
900d762210585ed1f3d26c1c23464eaf8540d5d40a9ae2f6a9a8ce1f1a14d16b02e1a391febd478bdbacdeaa17f71d80827e2037a2fa1ba14f73fee8dbb02c19
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Crusoe, Jonathan
By organisation
Information SystemsFaculty of Arts and Sciences
In the same journal
Computers
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 195 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 158 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf