Environmental Skeptics and Critics, 2014, 3(3): 47-51
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Close connections between open science and open-source software

YouHua Chen1, XueKe Lu2, YouFang Chen3
1Department of Renewable Resources, University of Alberta, Edmonton, T6G 2H1, Canada
2Department of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, UK
3School of Software, Harbin Normal University, Harbin, Heilongjiang Province, China

Received 10 June 2014;Accepted 26 June 2014;Published online 1 September 2014

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.

Keywords open source;open access;data reuse;reproductivity;knowledge integration.

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