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| # A likely scenario | ||
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| - You have just joined a new research group as a Student/Researcher/PI. | ||
| - The group use a custom pipeline/setup to perform their data analysis/simulations. |
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| - The group use a custom pipeline/setup to perform their data analysis/simulations. | |
| - The group use a custom pipeline/setup to perform their data analysis/simulations. | |
| - You are reading their latest paper, and want to reproduce one of their figures - your task is to introduce better data and adapt the algorithm, and add a new line to show the improvement. |
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| # Version Control | ||
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| - First put things into VC |
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| - First put things into VC | |
| - First put things into version control (e.g. Github, Gitlab, Bitbucket, Codeberg) |
| # Version Control | ||
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| - First put things into VC | ||
| - Then any changes/fixes can be tracked |
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Maybe also something about better collaboration
| - Basic documentation | ||
| - Project files (e.g. project.toml for python etc) | ||
| - System dependencies (nix/guix/docker?) | ||
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Add something about automatisation - creating (at least) scripts to run the simulation pipeline, produce figures etc
| - Accessibility | ||
| - Interoperability | ||
| - Reuse | ||
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Notebooks and containers
| - Interoperability | ||
| - Reuse | ||
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| $-- Maybe we should look at this retrospectively, and see what elements we covered and |
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Reproducibility reviews - let new team members run the code according to documentation, and raise issues for things that are not clear/outdated.
Also, point towards reprohacks and other reproducibility initiatives.
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This PR will resolve #5.
The slides are currently written in markdown with the intention of using pandoc to convert to the final content format.