Love your data? Make it reproducible! A workshop on reproducibility in data science

Session

Workshop session

14 Feb 2023, 10:30

online

1. Data and reproducibility management with DataLad

Adina Wagner (FZJ)

14/02/2023, 10:30

The path to reproducible science is paved with many open source software tools - this workshop introduces one of them. Using hands-on examples centered around the tool DataLad (http://datalad.org ), we will discover core concepts for reproducibility, such as version control, digital provenance, containerization, or data publication. The workshop focuses on technical and conceptual aspects...

11. Practical steps towards reproducible research

Heidi Seibold

14/02/2023, 10:30

In this workshop we will discuss and implement steps to make your research reproducible. Reproducible research means that with the same data and the same analysis you get the same results every time you run the analysis. That sounds simple, but is not and as it turns out most researchers fail at it. Join this workshop to improve your research through simple and impactful practices!

10. Software Citation - Current Practice and Recent Developments

Tobias Schlauch (DLR / HIFIS)

14/02/2023, 10:30

Software citation is an important part of the provenance of research results and enables their reproducibility. In addition, software citation presents an option to improve the credit for software related work in the academic system. In the workshop, we present the current practice of how to cite software and how to make software citable. In addition, we provide an outlook about recent...