Type(s) de contenu et mode(s) de consultation : Texte noté : électronique

Titre clé :  The ReScience journal

Titre(s) : The Rescience journal [Ressource électronique] / editors-in-chief Konrad Hinsen, Nicolas P. Rougier

Numérotation : Vol. 1, Issue 1 (2015)-

Type de ressource électronique : Données textuelles en ligne

Publication : [Talence] : [The ReScience journal], 2015-

Note(s) : Articles en anglais. - Notice rédigée d'après la consultation de la ressource, 2015-09-18
Titre provenant de l'écran-titre
Date de 1re mise en ligne d'après l'éditeur

Description matérielle : 1 ressource dématérialisée

Indexé dans DOAJ : https://doaj.org/toc/6bc241d578744f72b37eb17fd6d356e0

Indexé dans Mir@bel (ISSN 2678-0038) : https://reseau-mirabel.info/revue/issn/2430-3658

Périodicité : Irrégulier

Indice(s) Dewey :  620.002 85 (23e éd.) = Ingénierie et activités connexes - Applications informatiques  Voir les notices liées en tant que sujet

Identifiants, prix et caractéristiques : ISSN 2430-3658 = The ReScience journal
ISSN-L 2430-3658
cf.https://portal.issn.org/resource/ISSN/2430-3658

URL : http://rescience.github.io/ - Format(s) de diffusion : PDF. - Accès libre et intégral. - Consulté le 2015-09-18
URL (capture dans Internet Archive) : https://web.archive.org/web/*/http://rescience.github.io/

Identifiant de la notice  : ark:/12148/cb444177445

Notice n° :  FRBNF44417744

Commentaires : If computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and replicating results, computational science still lags behind. In the best case, authors may provide the sources of their research as a compressed archive and feel confident their research is replicable. But this is not exactly true. Buckheit & Donoho (1995) explained almost 20 years ago that, an article about computational result is advertising, not scholarship. The actual scholarship is the full software environment, code and data that produced the result. The computational part in computational sciences implies the use of computers, operating systems, tools, frameworks, libraries and data. This leads to such a large number of combinations (taking into account the version for each component) that the chances to have the exact same configuration as one of your colleagues are nearly zero. This draws consequences in our respective computational approaches in order to make sure that computational research can be actually and faithfully replicated. 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 is reproducible. To achieve this goal, the whole publishing chain is radically different from any other traditional scientific journal. ReScience lives on GitHub where each new implementation of a computational study is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. If you ever replicated computational results from the literature in your research, ReScience is the perfect place to publish your new implementation [source éditeur]