The NOWA School
Open and reproducible science entails the use of open software, provenance tracking of the project, quality assurance of the code, and proper research data management (RDM). NOWA’s responsibility is to offer the researchers in our CRCs training on exactly that. So far, NOWA provided you with single workshops on some of these aspects and we’ve already learned a lot together.
The idea of the NOWA School was to offer the trainings within one week, as the modules taught go hand in hand and we hope for a more holistic experience compared to having single workshops spread over a few months.
The NOWA school was first held on February 12th-16th 2024 in Gießen.
Modules
- Research Data Management (RDM)
- Psychopy
- Git & GitLab
- Python & Jupyter
- Clean code & automated code testing (CI/CD)
The modules are taught by an example project on which we will work together over the whole week. After we learned about Research Data Management (RDM) standards and techniques (Monday), we will develop an experiment for our example project in Psychopy (Tuesday). On Wednesday, we will learn how to version control this code with Git and how to work on it collaboratively on GitLab. For our example project, we will also need to do some statistical analyses and figures, using Python (Thursday). All of our code should be tested, be clean, and re-usable (Friday).
Materials
All materials are rendered in this JupyterBook and designed for both, in-person workshops as well as for self-learning purpose. All materials are published on OSF, including the respective GitLab repo.