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Re: [O] A manuscript on "reproducible research" introducing org-mode


From: Jambunathan K
Subject: Re: [O] A manuscript on "reproducible research" introducing org-mode
Date: Thu, 16 Feb 2012 14:28:31 +0530
User-agent: Gnus/5.13 (Gnus v5.13) Emacs/24.0.93 (windows-nt)

Christophe

I see an ODT file in there - LFPdetection_in.odt
http://hal.archives-ouvertes.fr/hal-00591455/

May I ask how the document was produced. 

Do you have any insights on how the Org's ODT exporter performs wrt your
input Org file. Just curious.

> @article{Delescluse2011,
> title = "Making neurophysiological data analysis reproducible: Why and how?",
> journal = "Journal of Physiology-Paris",
> volume = "",
> number = "0",
> pages = " - ",
> year = "2011",
> note = "",
> issn = "0928-4257",
> doi = "10.1016/j.jphysparis.2011.09.011",
> url = "http://www.sciencedirect.com/science/article/pii/S0928425711000374";,
> author = "Matthieu Delescluse and Romain Franconville and Sébastien Joucla 
> and Tiffany Lieury and Christophe Pouzat",
> keywords = "Software",
> keywords = "R",
> keywords = "Emacs",
> keywords = "Matlab",
> keywords = "Octave",
> keywords = "LATEX",
> keywords = "Org-mode",
> keywords = "Python",
> abstract = "Reproducible data analysis is an approach aiming at complementing 
> classical printed scientific articles with everything required to 
> independently reproduce the results they present. “Everything” covers here: 
> the data, the computer codes and a precise description of how the code was 
> applied to the data. A brief history of this approach is presented first, 
> starting with what economists have been calling replication since the early 
> eighties to end with what is now called reproducible research in 
> computational data analysis oriented fields like statistics and signal 
> processing. Since efficient tools are instrumental for a routine 
> implementation of these approaches, a description of some of the available 
> ones is presented next. A toy example demonstrates then the use of two open 
> source software programs for reproducible data analysis: the “Sweave family” 
> and the org-mode of emacs. The former is bound to R while the latter can be 
> used with R, Matlab, Python and many more “generalist” data processing 
> software. Both solutions can be used with Unix-like, Windows and Mac families 
> of operating systems. It is argued that neuroscientists could communicate 
> much more efficiently their results by adopting the reproducible research 
> paradigm from their lab books all the way to their articles, thesis and 
> books."
> }
-- 



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