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在生态和进化中的代码共享增加了引用率,但仍然不常见
Brian Maitner1,2, Paul Efren Santos Andrade3, Luna Lei4
1Department of Integrative Biology University of South Florida St. Petersburg Florida USA.
Ecology and evolution
|August 29, 2024
概括
发表科学代码在生态学和进化学中仍然不常见,尽管它对透明度和可重复性有好处. 然而,共享代码可以随着时间的推移提高研究的引用率,特别是当与开放访问和数据共享相结合时.
科学领域:
- 生态学和进化论的发展
- 计算生物学 计算生物学
- 科学出版 科研出版
背景情况:
- 生物学家越来越多地使用计算代码进行数据分析,需要其出版以提高透明度,可复制性和培训.
- 发布的代码作为未来研究和验证的基础.
研究的目的:
- 估计自2010年以来生态和进化文献中代码共享的时间趋势.
- 调查代码共享对科学出版物引用率的影响.
主要方法:
- 进行了一项文献审查,以分析代码共享实践.
- 引用率与共享代码和没有共享代码的出版物进行了比较.
主要成果:
- 代码共享不常见,只有6%的论文发布代码,随着时间的推移显示最小的增加.
- 分享代码的出版物,虽然最初的影响较小,但引用的积累速度更快.
- 符合其他开放科学标准 (开放访问,数据共享) 的研究显示出更高的引用率,所有三个标准都产生了最大的引用积累.
结论:
- 在生态和进化中的代码共享目前未得到充分利用,但提供了长期引用的好处.
- 坚持更广泛的开放科学原则,包括代码共享,数据共享和开放访问,大大提高了研究的可见性和影响.
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