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Publishing computational research – A review of infrastructures for reproducible and transparent scholarly communication
[article]
2020
arXiv
pre-print
Funding agencies increasingly ask applicants to include data and software management plans into proposals. In addition, the author guidelines of scientific journals and conferences more often include a statement on data availability, and some reviewers reject unreproducible submissions. This trend towards open science increases the pressure on authors to provide access to the source code and data underlying the computational results in their scientific papers. Still, publishing reproducible
arXiv:2001.00484v1
fatcat:4nm6pmwzhvgptmcfhbkp7efvky