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authorMartin Czygan <martin.czygan@gmail.com>2020-11-03 18:04:58 +0100
committerMartin Czygan <martin.czygan@gmail.com>2020-11-03 18:04:58 +0100
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parent58a114c19e429c8cc41d6175f872870f849527a3 (diff)
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# Extra code and docs
-Notes on applications.
+Rough notes on applications.
+
+## Reproducibility
+
+Projects end up with a data folder, that is hard to reproduce.
+
+![](static/datadir.png)
+
+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.
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