English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Sustainable computational science: The ReScience initiative

Rougier, N. P., Hinsen, K., Alexandre, F., Arildsen, T., Barba, L. A., Benureau, F. C. Y., et al. (2017). Sustainable computational science: The ReScience initiative. PeerJ Computer Science, 2017: e142. doi:10.7717/peerj-cs.142.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C185-F Version Permalink: http://hdl.handle.net/21.11116/0000-0001-6A18-E
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Rougier, N. P., Author
Hinsen, K., Author
Alexandre, F., Author
Arildsen, T., Author
Barba, L. A., Author
Benureau, F. C. Y., Author
Brown, C. T., Author
de Buyl, de, Author
Caglayan, O., Author
Davison, A. P., Author
Delsuc, M. A., Author
Detorakis, G., Author
Diem, A. K., Author
Drix, D., Author
Enel, P., Author
Girard, B., Author
Guest, O., Author
Hall, M. G., Author
Henriques, R. N., Author
Hinaut, X., Author
Jaron, K. S., AuthorKhamassi, M., AuthorKlein, A., AuthorManninen, T., AuthorMarchesi, P., AuthorMcGlinn, D., AuthorMetzner, C., AuthorPetchey, O., AuthorPlesser, H. E., AuthorPoisot, T., AuthorRam, K., AuthorRam, Y., AuthorRoesch, E., AuthorRossant, C., AuthorRostami, V., AuthorShifman, A., AuthorStachelek, J., AuthorStimberg, M., AuthorStollmeier, Frank1, Author              Vaggi, F., AuthorViejo, G., AuthorVitay, J., AuthorVostinar, A. E., AuthorYurchak, R., AuthorZito, T., Author more..
Affiliations:
1Max Planck Research Group Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063295              

Content

show
hide
Free keywords: Computational science; Open science; Publication; Reproducible; Replicable; Sustainable; GitHub; Open peer-review
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2017-12-18
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.7717/peerj-cs.142
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PeerJ Computer Science
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: 17 Volume / Issue: 2017 Sequence Number: e142 Start / End Page: - Identifier: -