Sample data is available now to help researchers prepare their Wave 1 preregistrations and Registered Reports. Sample data constitutes the non-sensitive dataset for Sweden. The full Wave 1 data will be available in the coming months.
Two sample datasets are available.
Researchers may use both or neither sample datasets to aid them in designing their research study and preregistration. Researchers must not publish based upon the sample dataset since values have been altered. The dataset accessed through the website is randomized and perturbed and can be used as an initial introduction to the data and may help researchers develop their preregistration. Researchers can request access to the sample data with perturbed only (without randomization) when they complete their preregistration to further familiarize themselves with the data. Read more about the Sample Data Perturbation and Randomization Methods.
Please note that the sample and Wave 1 data releases will contain non-sensitive variables only (refer to codebook for variables). There may be additional metadata and variables released at a later date that will require ethical review (e.g. Institutional Review Board (IRB)) approval to access. Examples of sensitive data may include the following:
1. Geographic data
Latitude and longitude of the respondent at each point of data collection, aggregated to a higher level (likely to be to the 0 decimal level)
2. Demographic information (interviewer)
Interviewer’s age, gender, education, and religious affiliation.
3. Panel membership
Information such as date of recruitment (length of tenure on the panel), number of survey invitations and number of surveys completed in the last six months (if more than one survey was conducted), time to complete the survey, number of contacts, type of recruitment, and incentive payments.
Researchers requesting access to the GFS data agree to keep the data private until it is made publicly available, document analyses that are unplanned or changed from the preregistration, report outcomes, share code and materials, and make findings openly accessible. Learn more about the data request agreements.