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.
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.
in your paper, lines 82 and 84, you use the term commercial, but I think in both cases you should use proprietary instead, because the possibility to have commercial benefits is also part of the open source software, and this not compromises communication and collaboration between researchers on the source code.