Publishing scientific software matters

Christophe Pradal 1, 2 Gaël Varoquaux 3, 4 Hans Peter Langtangen 5, 6
1 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique, Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR51
3 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
NEUROSPIN - Service NEUROSPIN, Inria Saclay - Ile de France
Abstract : Software is a central part of modern scientific discovery. Software turns a theoretical model into quantitative predictions; software controls an experi- ment; and software extracts from raw data evidence supporting or rejecting a theory. As of today, scientific publications seldom discuss software in depth, maybe because it is both highly technical and a recent addition to scientific tools. But times are changing. More and more scientific investi- gators are developing software and it is important to establish norms for publication of this work.
Document type :
Journal articles
Journal of Computational Science, Elsevier, 2013, 4 (5), pp.311 - 312. 〈10.1016/j.jocs.2013.08.001〉
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Christophe Pradal, Gaël Varoquaux, Hans Peter Langtangen. Publishing scientific software matters. Journal of Computational Science, Elsevier, 2013, 4 (5), pp.311 - 312. 〈10.1016/j.jocs.2013.08.001〉. 〈hal-00858663〉



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