Sustainable computational science: the ReScience initiative
Details
Serval ID
serval:BIB_135A94DD70C5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Sustainable computational science: the ReScience initiative
Journal
PeerJ Computer Science
ISSN
2376-5992
Publication state
Published
Issued date
18/12/2017
Peer-reviewed
Oui
Volume
3
Pages
e142
Language
english
Abstract
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.
Keywords
Computational science, Open science, Publication, Reproducible, Replicable, Sustainable, GitHub, Open peer-review
Web of science
Publisher's website
Open Access
Yes
Create date
12/04/2018 15:10
Last modification date
20/08/2019 12:41