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# Extra code and docs
Rough notes on applications.
## Reproducibility
Projects end up with a data folder, that is hard to reproduce.
What you need to know:
* commands invoked
* their order and dependencies
We want to run N cluster algorithms and maybe for each of them run M
verification algorithms, so in the end, we can evaluate approaches against well
specified examples (test cases).
# Reading
* [FAIR Computational Workflows](https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00033)
> Computational workflows describe the complex multi-step methods that are used
> for data collection, data preparation, analytics, predictive modelling,
> and simulation that lead to new data products.
* [Sustainable data analysis](https://zenodo.org/record/4240139)
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