OPeR-RA: Open Research Data Management, Pre-registration, Reproducibility: Raising Awareness

a national initiative supporting rigorous, transparent and reproducible research across Switzerland, funded by swissuniversities as part of the Programme Open Science II

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SwissRN

OPeR-RA (Open Research Data Management, Pre-registration, Reproducibility: Raising Awareness), is a national initiative supporting rigorous, transparent and reproducible research across Switzerland, funded by swissuniversities as part of the Programme Open Science II: Call for Communication and Awareness Raising Projects.

The project delivers three itinerant, hands-on workshops on reproducibility, pre-registration, and open research data management. Each workshop will be hosted at four Swiss universities (UZH, UNIGE, UNIBE and UNIL) and combines conceptual grounding with practical training.

Overview:

The first Computational Reproducibility workshop will take place on 22 May 2026, from 09:00 to 16:30.

Location: UZH, City campus. Room: KOL-H-309

Instructors: Fabio Molo (UZH), Daniel Stekhoven (ETHZ)

Registration form: here

More info: The workshop will introduce the participants to a full pipeline for creating and sharing computationally reproducible data analyses. The pipeline includes version control with Git, reproducible reports with Quarto using R or Python, analysis workflow management, Docker software containers, and best practices for publishing the analysis. For each of these elements we provide a short theoretical introduction, and together we will work through a hands-on example analysis across the entire pipeline. Join to learn how to make your analyses (more) transparent, shareable, and reproducible.

Target audience: Researchers and students at any level who conduct quantitative data analyses in any field.

More info on the Pre-registration and Open Research Data Management workshops: Coming up soon!

Led by experts from UZH, ETH Zurich, and the University of Bern, OPeR-RA strengthens research quality and collaboration across the Swiss research landscape

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