Dan, though I don't know what your research is about, feel free to
consider submitting it to the LMS JCM (http://www.lms.ac.uk/jcm/)
which encourages including full source code and data in separate
files.  It's also on the jsage approved list
(http://www.sagemath.org/library/jsage/journals.html).

john

2008/7/25 Dan Drake <[EMAIL PROTECTED]>:
> On Thu, 24 Jul 2008 at 12:57AM -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.
>
> This sounds really cool, although I don't know anything about signals
> processing. I was planning on including an appendix with Sage code in my
> next upload to the arXiv so that people can work with the data.
>
> Sage is especially suited for reproducible research; that's a catchy
> phrase, and I think it might be good for marketing purposes.
>
> Dan
>
> --
> ---  Dan Drake <[EMAIL PROTECTED]>
> -----  KAIST Department of Mathematical Sciences
> -------  http://math.kaist.ac.kr/~drake
>
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>

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