On Thu, 2008-07-24 at 00:57 -0500, [EMAIL PROTECTED] wrote: > The Ecole Polytechnique Federale De Lausanne has introduced > an online journal for reproducible research at: > <http://rr.epfl.ch/17/> > > The introductory headline reads: > > Have you ever tried to reproduce the results presented in a research > paper? For many of our current publications, this would unfortunately > be a challenging task. For a computational algorithm, details such as > the exact dataset, initialization or termination procedures and precise > parameter values are often omitted in the publication for various > reasons. This makes it difficult, if not impossible, for someone else > to obtain the same results. To address the problem, we have started > making our research reproducible. Instead of only describing the > developed algorithms to 'sufficient' precision in an article, we give > readers access to all the information (code, data, schemes, etc) that > was used to produce the presented results as first advocated by Knuth > and Claerbout. We are convinced that making research reproducible is > not only a matter of good practice, but also increases the impact of > our publications and makes it easier to build upon each other's work. > It is a clear win-win situation for our community: we will have access > to more and more algorithms and can spend time inventing new things > rather than recreating existing ones.
I have a number of links to "reproducible research" from the R langauge - it's a big deal in the R community. R has its own literate programming tool set -- it's patterned after "noweb" but has no external dependencies. In addition, there is an excellent LyX front-end to all of it. -- M. Edward (Ed) Borasky ruby-perspectives.blogspot.com "A mathematician is a machine for turning coffee into theorems." -- Alfréd Rényi via Paul Erdős _______________________________________________ Axiom-developer mailing list [email protected] http://lists.nongnu.org/mailman/listinfo/axiom-developer
