Sustainable computational science: The ReScience Initiative

Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Abien C.Y.Benureau, Charles Brown, Pierre deBuy, Ozan Caglayan, Andrew P. Davison, Marc André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier HinautKamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito

Research output: Contribution to journalArticle

17 Scopus citations

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 impliesnew 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.

Original languageEnglish (US)
Article numbere142
JournalPeerJ Computer Science
Volume2017
Issue number12
DOIs
StatePublished - Jan 1 2017

Keywords

  • Computational science
  • GitHub
  • Open peer-review
  • Open science
  • Publication
  • Replicable
  • Reproducible
  • Sustainable

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Rougier, N. P., Hinsen, K., Alexandre, F., Arildsen, T., Barba, L. A., C.Y.Benureau, A., Brown, C., deBuy, P., Caglayan, O., Davison, A. P., Delsuc, M. A., Detorakis, G., Diem, A. K., Drix, D., Enel, P., Girard, B., Guest, O., Hall, M. G., Henriques, R. N., ... Zito, T. (2017). Sustainable computational science: The ReScience Initiative. PeerJ Computer Science, 2017(12), [e142]. https://doi.org/10.7717/peerj-cs.142