What is OS?

open access, registered report, diamond open access, pre/postregistration, data sharing, DROPS data check-out system

learning to deal with deviation (pre and post)

Registered Report

Feeling like you work together with the experts who review your paper (RR)

Taking more time in the beginning, but less time in the end

=> Peer Community Inn

• free open access -> Knowledge becomes accessible to all, regardless of institutional resources, and researchers without large budgets can share their work openly.

• fastens review process, reducing burden on traditional publishing systems -> Community-based reviewing can speed up the evaluation of mental health research. Also if you want to publish in other journals, you were already peer-reviewed.

• supports RRs

Ethical and legal constraints on data sharing (who is the controller of the data, where do you share data, data transfer agreements, merging data issues, patient data is sensitive and patients often did not agreed to share data with other researchers for other projects, ...)

https://peercommunityin.org/thematic-pcis/

or

Creating a plateform/guidelines on data sharing

DROPS: redcap.gbiomed.kuleuven.be/surveys/?s=WDYAFAHWK4

- study quality and reproducibility

- accelerates scientific progress

- promotes transparency

- promotes collaboration

- promotes equity by making datasets discoverable, reusable, and citable across institutions and resources (also, low resource institutions gaining access to datasets).

- ensuring proper documentation and metadata

- navigating ethical/legal/privacy constraints

- clarifying ownership and discoverability of datasets

- addressing difficulties in merging data

- creating sufficient incentives for sharing data

- technical infrastructure (e.g., data-checkout systems with clear access procedures) is needed to support controlled and reproducible data reuse.

- how to prepare data -> Manuals on

• How to prepare your metadata (Marine)

• How to built a data check-outsystem (benefits + how to do it) (Julie)

  
  

- how to share data -> Manuals on

• How to use the SODHA website (everyone)

• How to legally share data (Inez?)

  
  

- how to receive data -> Manuals on

• How to use a data check-outsystem (Julie)

• How to check for quality of data that you have received

• How to merge data

• website with an overview researchers, their topics, and data sharing (Damien)

• at least 50 researchers on the website

• at least 10 projects shared on SODHA

• Manual 1) how to use SODHA (all)

  2) how to prepare metadata (Marine)

  3) how to create a data check-out system (Julie)

• finding funding resources for this open-science initiative

  
  

  2-year

  • at least 80 researchers on the website

  • links visible between researchers (dynamic)

  • at least 30 projects shared on SODHA

  • Manual 1) legal aspects of data sharing

    2) how to use a data check-out system

    3) How to check quality of data

  
  

  5-year

  • trainingsessions

  • workshops

  • at least 150 researchers on the website

  • at least 80 projects shared on SODHA

  • New and updated manuals on all issues related to data-sharing (e.g. merging)

  • at least 5 collaborative projects from the network on SODHA