Close connections between open science and open-source software
1
Department of Renewable Resources, University of Alberta, Edmonton, Canada
2
Department of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
3
School of Software, Harbin Normal University, Harbin, Heilongjiang Province, China
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Science, Legal Issues, Science and Medical Education, Science Policy
- Keywords
- open source, open access, data reuse, reproductivity, knowledge integration
- Copyright
- © 2014 Chen et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. Close connections between open science and open-source software. PeerJ PrePrints 2:e235v1 https://doi.org/10.7287/peerj.preprints.235v1
Abstract
Open science is increasingly gaining attention in recent years. In this mini-review, we briefly discuss and summarize the reasons of introducing open science into academic publications for scientists. We argue that open-source software (like R and Python software) can be the universal and important platforms for doing open science because of their appealing features: open source, easy-reading document, commonly used in various scientific disciplines like statistics, chemistry and biology. At last, the challenges and future perspectives of performing open science are discussed.