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Analyzing the use and reproducibility of Jupyter Notebooks using ReproduceMeGit- Contributions to Open Science for Reproducible Research
- de-RSE: Forking an RSE success story
- Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles
- ProvBook: Capturing and Visualizing Provenance in Jupyter Notebooks for Reproducibility
- ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks
- What are main search interests in biodiversity research?
de-RSE: Forking an RSE success story
| Title: | de-RSE: Forking an RSE success story |
|---|---|
| Presenter(s): | |
| Event: | Supercomputing 2020 |
| Date: | 2020-11-12 10:15 |
| Slides: | 2020.11.12_1015_wksp143_Workshop_Löffler_Frank |