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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
Contributions to Open Science for Reproducible Research
| Title: | Contributions to Open Science for Reproducible Research |
|---|---|
| Presenter(s): | Sheeba Samuel |
| Event: | QPTData Open Science Workshop |
| Date: | 2020-01-23 14:45 |
| Website: | Link |
| Description: | https://doi.org/10.6084/m9.figshare.11728974.v1 |