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
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