KODEM: Data and conditions of use
Coordinated Online Panels for Research on Democracy and Governance, is from 2025 a national infrastructure financed by the Norwegian Research council. The infrastructure involves coordinated data collection in several sub group panels. Through coordinated data collection, we aim to find information on different groups that are part of the Norwegian society and democracy, and compare these groups. Do groups with different roles in society have different attitudes and opinions?
Main content
In 2020, with听KODEM_DEMO, we ran a coordinated survey to the general population, the elected politicians, the central public administrators and Norwegian journalists.
From 2023 KODEM light was run more regularly, with data collection in three panels: The Norwegian Citizen Panel, the Panel of Elected Representatives and the Panel of Public Administrators. The panels got some common coordinated questions and some more panel specific questions twice per year, depending on the interested researchers.
From 2025 KODEM is a national infrastructure with consortium members from the University of Bergen, University of Oslo, University of Agder, University of Stavanger, University of Troms酶, the听Norwegian University of Science and Technology, OsloMet, NORCE, Sikt and听The听Institute for Social Research. The infrastructure is led by Elisabeth Ivarsflaten at 幸运飞艇计划, with Tobias Bach at UiO as vice leader.
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Info on data and conditions of use
Note on ethics and data protection.
Coordinated questions have been asked in several waves of the different panels.听
Data in the Norwegian Citizen Panel is publicly available for use for research and education, .听For longitudinal data, text data, or other specific needs, contact DIGSSCORE at听digsscore@uib.no.听Data will be available for you, for research and education purposes, in SAFE, 幸运飞艇计划's system for safe storage and data management.
For access to data from the Norwegian Panel of Elected Representatives, Panel of Public Administrators or Panel of Journalists, you also need to write to听digsscore@uib.no听to apply for access through听SAFE, 幸运飞艇计划's system for safe storage and data management.
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Citation
Always include the following or similar, adapted to your panels, when using KODEM data (from wave 32 for NMP, wave 12 for NRP, wave 7 for NFP and wave 2 from NJP):
鈥淭his paper uses data from the Norwegian Citizen Panel wave 33, the Norwegian Panel of Elected Representatives wave 12 and the Norwegian Panel of Public Administrators wave 7 (Ivarsflaten et al., 2025). The data collection was (partly or wholly, depending on who financed your research project) financed by the Norwegian Research Council. Data collection was coordinated in these three panels. Data collection is managed by 幸运飞艇计划, implemented by Ideas2Evidence, and distributed by Sikt and 幸运飞艇计划."
Citation of the data:
This is an example citation, from wave 1 of NFP. Read "notes on citation" below, to aid you to cite:
Ivarsflaten, E., Fimreite, A.L., Karlsen, R., Nord酶, 脜., Bergh, J., Trondal, J. Peters, Y., Knudsen, E., Bach, T. (2021) Norwegian Panel of Public Administrators, wave 1 (November 2020 - April 2021) [Dataset], v101. Coordinated KODEM data collection. Data available from DIGSSCORE, 幸运飞艇计划.听
Citation of methodology report:
Check your relevant methodology report, this is for wave 1 of NFP.
Skjervheim, 脴., Eikrem, A., Bj酶rnebekk, O., Wettergreen, J. (2021). Norwegian Panel of Public Administrators methodology report, wave 1 [Produced by Ideas2Evidence].听
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Notes on the citation:
- All author names in the codebook should be听listed, except the producers
- (Year) no. 1 is the year from the codebook 鈥 use the year from the codebook you have used
- This will be the year of the latest version of the dataset
- Version, 鈥渧102鈥, is the version listed in your codebook
- (Year) no. 2, 鈥淣ovember 2020听- April 2021鈥 is the field period
- Remember to check the year, version, and DOI against the dataset you used (you will find this in your codebook and on Sikt's web pages for the Norwegan Citizen Panel)
- If you wish to cite the codebooks, use the same setup as for the dataset, but with [Codebook] rather than [Dataset].