How can SLOSH data be accessed?

SLOSH is a longitudinal cohort that includes survey and register data pertaining to large numbers of people over a long period of time, and it can be used for research in a wide range of areas. In line with the principles of open science, we endeavour to make these data (as well as results based on SLOSH data) available to researchers in Sweden and abroad. In addition to furthering research, this will make the best use of participants’ work in answering questionnaires.

At the same time, we have a legal, ethical and moral obligation to protect participants’ information, ensuring that it is not disclosed or otherwise misused. The mere suspicion that sensitive data pertaining to individuals might be leaked can be to the detriment of participants, as well as eroding trust in research and reducing the public’s willingness to participate in research studies. We take our obligation to protect participants’ privacy very seriously.

On this page, we describe in detail the procedure as well as the legal conditions for accessing SLOSH data and results based on SLOSH data. Please read this page, including the collapsible blocks, before proceeding with ordering data, which is described further down on this page. You can also download the information as a pdf file here.

Procedure for access

You can use SLOSH data for your own research in three fundamentally different ways: 1) by working on a project-specific dataset provided to you as a researcher; 2) by carrying out analyses yourself using SLOSH group computers on-site at Stockholm University; 3) by ordering specific analyses to be run by SLOSH staff, who will provide you with group-level results. For those not employed by a Swedish public-sector university, the last two options are usually preferable. In all three cases, the research must, as a rule, be duly authorised by the Swedish Ethical Review Authority.

Apart from these three methods, you can also use our visualisation site slosh.se/diagram-result/jamforande-diagram to create simple diagrams based on SLOSH data. The site is available to everyone, and it can be a good place to start when, e.g., assessing whether a research project is feasible. The visualisation tool is fully secure in terms of data protection, as it does not access any personal data.

Researchers wishing to carry out their own analyses (options 1 and 2 above) must submit a completed data request to data@slosh.se, after which the request will be considered by the SLOSH management team (currently Prof. Hugo Westerlund, Associate Professor Constanze Leineweber, Associate Professor Linda L. Magnusson Hanson and Associate Professor Anna Nyberg). The request is reviewed based on its ethics authorisation and the legal requirements for data minimisation and data security, as well as the clarity, objectives and feasibility of the study.

Most often, the data to be included are further specified during a dialogue focusing on data minimisation according to the principles below. The necessary time and effort for a successful data request can be significantly reduced by contacting a member of the SLOSH management team in advance and receiving advice regarding what data to include in the request. We recommend that all applicants do so. If and when the request is approved, a dataset is produced by our statisticians and made available to the researcher in a technically secure way.

We charge a cost-recovery fee to process the request and produce a project-specific dataset. This is necessary to finance our efforts to produce and customise data for users. As of 1 January 2024, the fee for simple data extraction is SEK 9,528. This also includes 1-2 simple data enhancements.

Researchers wishing to order analyses should contact data@slosh.se to discuss the results to be produced, how to produce them and how to deliver them. A cost-recovery fee is also charged for these services.

Because almost all use of SLOSH requires ethical approval under the Ethical Review Act, the request and its approval must be sent to the SLOSH group before any processing of personal data can take place. We are happy to help you specify the planned analyses and describe our data in your ethics application.

You are welcome to send questions to data@slosh.se


* We recognise that there may be interest in training AI models on large amounts of data. As this is in direct conflict with both the legal requirement of data minimisation and the scientific interest of testing hypotheses on data where the relationships are not known in advance, we are unfortunately unable to comply with requests for disclosure for such purposes. Moreover, AI processing entails an increased risk that individuals are reverse-identified, which further argues in favour of not disclosing data for such processing