Conveners
Reproducibility and Discovery of Research Software
- Bernadette Fritzsch
Jupyter notebooks have revolutionized the way researchers share code, results, and documentation, all within an interactive environment, promising to make science more transparent and reproducible. In research contexts, Jupyter notebooks often coexist with other software and various resources such as data, instruments, and mathematical models, all of which may affect scientific...
Software discovery is a crucial aspect of research, yet it remains a challenging process due to various reasons: The lack of a centralized or domain-tailored search and publication infrastructure, insufficient software citations, the prevailing unavailability of software (versions) and many others. Researchers tend to utilize general search engines and their social network before considering...
The reproducibility of scientific simulations is one of the key challenges of scientific research.
Current best practices involve version-controlled code, tracking dependencies, specifying hardware configurations, and sometimes using Docker containers to enable one-click simulation setups. However, these approaches still fall short of achieving true reproducibility. For example, Docker...
In this contribution, we introduce the German Reproducibility Network (GRN) to the Open Source and Research Software Engineering community. The GRN aims to increase trustworthiness, transparency, and reproducibility in scientific research in Germany and beyond, as part of a broader international network of reproducibility initiatives. Since its founding in 2020, the GRN has grown into a...
