Pathomechanisms and Signatures in the Longitudinal Course of Psychosis


Grafik Open Science

We are committed to all levels of Open Science, including the sharing of primary research data - PsyCourse is open to collaboration with research scientists all over the world! .
While we would explicitly like to foster scientific collaboration and Data Sharing, we are bound to the informed consent of the participants of the PsyCourse study. Due to the sensitive nature of both genetic and high-dimensional phenotype data, these can only be made available to other researchers for specific purposes.

We have thus implemented a procedure that requires collaborators to submit a proposal that has to be evaluated by a panel of experts before data can be obtained from us. The purpose of these proposals is to..
..document ongoing and past research projects
..avoid overlap between newly proposed and existing projects
..establish a written agreement between researchers
..act as a form of preregistration


Submitting a proposal to obtain PsyCourse data requires the following steps, that must be followed in the required order:

1. Leading PI(s) must establish an initial contact with Thomas G. Schulze.

2. The current proposal template must be downloaded and filled out.

3. The completed document, signed by the applicant(s) must be sent to our proposal team. A proposal sent to any other email address will not be considered submitted.

4. The proposal will be reviewed by a panel of experts and feedback will be send out after review of the proposal. This may take a few weeks. The feedback will be one of the following:
i. Accepted
ii. Revisions needed
iii. Rejected

The data will be made available as soon as the proposal is accepted.
As detailed in the proposal, we reserve the right to revoke the proposal if there is suspicion of scientific misconduct, or when research is not progressing after a reasonable amount of time.
Collaborators are responsible to check the PsyCourse website periodically, which will provide updated versions of the dataset and corrections of errors in both the codebook and the data.