Sustainable computational science: the ReScience initiative

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Ressource 1Télécharger: peerj-cs-142.pdf (260.67 [Ko])
Etat: Serval
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_135A94DD70C5
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Sustainable computational science: the ReScience initiative
Périodique
PeerJ Computer Science
Auteur(s)
Rougier Nicolas P., Hinsen Konrad, Alexandre Frédéric, Arildsen Thomas, Barba Lorena A., Benureau Fabien C.Y., Brown C. Titus, de Buyl Pierre, Caglayan Ozan, Davison Andrew P., Delsuc Marc-André, Detorakis Georgios, Diem Alexandra K., Drix Damien, Enel Pierre, Girard Benoît, Guest Olivia, Hall Matt G., Henriques Rafael N., Hinaut Xavier, Jaron Kamil S., Khamassi Mehdi, Klein Almar, Manninen Tiina, Marchesi Pietro, McGlinn Daniel, Metzner Christoph, Petchey Owen, Plesser Hans Ekkehard, Poisot Timothée, Ram Karthik, Ram Yoav, Roesch Etienne, Rossant Cyrille, Rostami Vahid, Shifman Aaron, Stachelek Joseph, Stimberg Marcel, Stollmeier Frank, Vaggi Federico, Viejo Guillaume, Vitay Julien, Vostinar Anya E., Yurchak Roman, Zito Tiziano
ISSN
2376-5992
Statut éditorial
Publié
Date de publication
18/12/2017
Peer-reviewed
Oui
Volume
3
Pages
e142
Langue
anglais
Résumé
Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true. James Buckheit and David Donoho proposed more than two decades ago that an article about computational results is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produced the result. This implies new workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested and are hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests.
Mots-clé
Computational science, Open science, Publication, Reproducible, Replicable, Sustainable, GitHub, Open peer-review
Web of science
Open Access
Oui
Création de la notice
12/04/2018 16:10
Dernière modification de la notice
10/05/2019 7:08
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