We are wrapping up our week-long hybrid summer school on open science.
From September 9 to 13, 2024, the joint Open Science Summer School of the LMU Open Science Center and the Max Planck Digital Library took place in Munich. We selected 40 out of 109 applicants to attend our workshops, and received over 460 registrations for the public lectures.
The programme was designed to give the attendees as well as the public audience an intensive insight into a wide variety of Open Science aspects.
In his lecture “Science as amateur software development”, Professor Richard McElreath from the Max Planck Institute for Evolutionary Anthropology gave participants tips on how to incorporate insights from software development into their research work. In his sessions on the “reproducibility crisis” and “data sharing”, Professor Felix Schönbrodt from the LMU Open Science Center called for more transparency and openness during the research process. The motto was: “as open as possible, and as closed as necessary”.
One of the highlights of the Summer School was the panel discussion titled “Open Science incentives and institutional change”, which focused on how to create incentives to further integrate open science methods into the scientific community.
You can find all the material (slides, lecture recordings, workshop materials) in this repository: https://osf.io/pxgsc/
We would also like to highlight the self-paced tutorials that can be followed asynchronously and reused for your own teaching:
- Introduction to R: https://lmu-osc.github.io/introduction-to-R/
- Version control with Git within RStudio: https://lmu-osc.github.io/Introduction-RStudio-Git-GitHub/ & https://lmu-osc.github.io/Collaborative-RStudio-GitHub/
- Quarto:
- Introduction to simulation of data analyses in R: https://lmu-osc.github.io/Introduction-Simulations-in-R/
- Simulations for advanced power analysis in R: https://lmu-osc.github.io/Simulations-for-Advanced-Power-Analyses/
- Code publishing: https://lmu-osc.github.io/introduction-to-Quarto/
- FAIR research data management: https://lmu-osc.github.io/FAIR-Data-Management/
