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
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
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〉
Liste complète des métadonnées

Cited literature [8 references]  Display  Hide  Download


https://hal.inria.fr/hal-00858663
Contributor : Christophe Godin <>
Submitted on : Wednesday, January 7, 2015 - 11:29:02 AM
Last modification on : Thursday, July 19, 2018 - 12:18:04 PM
Document(s) archivé(s) le : Friday, September 11, 2015 - 1:06:20 AM

Files

paper.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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〉

Share

Metrics

Record views

904

Files downloads

739