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Jupyter Notebooks as Discovery Mechanisms for Open Science: Citation Practices in the Astronomy Community

机译:Jupyter笔记本作为开放科学的发现机制:天文社区的引用实践

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Citing data and software is a means to give scholarly credit and to facilitate access to research objects. Citation principles encourage authors to provide full descriptions of objects, with stable links, in their papers. As Jupyter notebooks (JNs) aggregate data, software, and other objects, they may facilitate or hinder citation, credit, and access to data and software. We report on a study of references to JNs in astronomy over a five-year period (2014-2018). References increased rapidly, but fewer than half of the references led to JNs that could be located and opened. JNs appear better suited to supporting the research process than to providing access to research objects. We recommend that authors cite individual data and software objects and that they stabilize any notebooks cited in publications. Publishers should increase the number of citations allowed in papers and employ descriptive metadata-rich citation styles that facilitate credit and discovery.
机译:引用数据和软件是一种提供学术学分并促进访问研究对象的方法。引用原则鼓励作者提供对物体的全部描述,在其论文中具有稳定的联系。作为Jupyter笔记本(JNS)聚合数据,软件和其他对象,它们可以促进或阻碍引用,信用和访问数据和软件。我们报告了在五年期间对天文学中JNS参考的研究(2014-2018)。参考资料迅速增加,但少于一半的引用引导到了可以定位和打开的JNS。 JNS看起来更适合支持研究过程,而不是提供研究对象的访问。我们建议作者引用各个数据和软件对象,并稳定出版物中引用的任何笔记本。出版商应增加论文允许的引用人数,并采用富裕的富含元数据的引用风格,促进了信贷和发现。

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