Sustainable computational science: the ReScience initiative

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...

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Detalles Bibliográficos
Autores principales: 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, Jemma, Stimberg, Marcel, Stollmeier, Frank, Vaggi, Federico, Viejo, Guillaume, Vitay, Julien, Vostinar, Anya E., Yurchak, Roman, Zito, Tiziano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530091/
https://www.ncbi.nlm.nih.gov/pubmed/34722870
http://dx.doi.org/10.7717/peerj-cs.142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530091/
https://www.ncbi.nlm.nih.gov/pubmed/34722870
http://dx.doi.org/10.7717/peerj-cs.142

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