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Nordic countries have a long tradition of collecting administrative data for statistical purposes. This tradition has led to data covering the entire national population by means of long-term data series of high quality, which are stored and used as basis for compiling statistics. All Nordic Statistical Institutions give national researchers access to de-identified microdata and register-based research is prominent in most Nordic countries.
In 2015 the Nordic National Statistical Institutions (NSI’s) agreed upon a common model of cooperation for researchers access to Nordic social microdata gathered by the NSI’s themselves for statistical purposes.
The cooperation model
- Projects can only have access to microdata administered by the NSI’s as well as the researchers’ own data.
- The researcher who applies for remote access to Nordic microdata, the principal researcher, must initially apply for access from the NSI in the country where the institution of the principal researcher is located – the local NSI.
- Each NSI creates the relevant de-identified datasets according to their national rules on the basis of the researcher’s project description. Access to data is always granted on a “need to know” principle, i.e. the dataset contains the data necessary for carrying out the project.
- Access to cross Nordic microdata can be given through the existing local remote access systems. At the moment such systems are in use in Denmark, Finland or Sweden. For a researcher this means that access to the data will be managed via a single access point where the microdata also will be stored.
- Data will never leave the safe domains of the Nordic NSI’s.
- All output is subject to output control by the data hosting NSI, prior to data delivery.
- Researchers should pay for all cost regarding start-up, extraction of data and guidance in each NSI according to local procedures and prices.
- Researchers should pay for their use of the remote access system according to procedures and prices in the data hosting country.
The project is funded 2015-2017 by NordForsk