[IPOL discuss] Ten Simple Rules for Reproducible Computational Research

[Pierre Moulon]

Merci Nicolas,

Très intéressant.

On devrait tous recevoir et tenter d'appliquer ces régles des le début
d'une thèse.

Ou d'un projet d'ailleur.


2013/10/30 Nicolas Limare <nicolas.limare at cmla.ens-cachan.fr>

> Ten Simple Rules for Reproducible Computational Research
> by Geir Kjetil Sandve, Anton Nekrutenko, James Taylor and Eivind Hovig
> -> http://dx.doi.org/10.1371/journal.pcbi.1003285
>
> The background of this article is biology, but I think the 10 rules
> given here make sense for our community too. The rules are:
>
> Rule  1: For Every Result, Keep Track of How It Was Produced
> Rule  2: Avoid Manual Data Manipulation Steps
> Rule  3: Archive the Exact Versions of All External Programs Used
> Rule  4: Version Control All Custom Scripts
> Rule  5: Record All Intermediate Results, When Possible in
>          Standardized Formats
> Rule  6: For Analyses That Include Randomness, Note Underlying Random
>          Seeds
> Rule  7: Always Store Raw Data behind Plots
> Rule  8: Generate Hierarchical Analysis Output, Allowing Layers of
>          Increasing Detail to Be Inspected
> Rule  9: Connect Textual Statements to Underlying Results
> Rule 10: Provide Public Access to Scripts, Runs, and Results
>
> They somehow complement the rules implied by IPOL. Rules 1, 2, 4, 5,
> 6, 7 would also helo IPOL authors when they are asked to correct a
> figure or explain an image inserted in an article. Rule 10 is very
> close to what IPOL provides.
>
> All the best,
>
> --
> Nicolas LIMARE
> http://nicolas.limare.net/                         pgp:0xFA423F4F
>
> --
> IPOL - Image Processing On Line   - http://ipol.im/
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>


-- 
Regards/Cordialement,
Pierre M
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