From FAIR research data toward FAIR and open research software
From FAIR research data toward FAIR and open research software
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DOI：
10.1515/itit-2019-0040
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发表时间：
2020-02-01
影响因子：
0.9
通讯作者：
Tiropanis, Thanassis
中科院分区：
文献类型：
--
作者：
Hasselbring, Wilhelm;Carr, Leslie;Tiropanis, Thanassis
开放科学议程认为，当我们能够在现有成果的基础上发展时，科学进步得更快。因此，研究数据必须是公平的（Findable，Discriminable，Interoperable，Reusable），以提高研究结果的可发现性，可重复性和可重用性。除了研究数据之外，这些数据的所有处理步骤--作为科学出版物的基础--也必须是可用的。对于良好的科学实践，最终的研究软件应该是开放的，并遵守FAIR原则，以允许完全的可重复性、再现性和重用。与研究数据相比，研究软件应存档以确保可重现性，并积极维护以确保可重用性。FAIR数据原则不要求开放性，但研究软件应是开源软件。已建立的开源软件许可证提供了足够的许可选项，因此保持研究软件关闭应该是罕见的例外。我们回顾和分析该领域的当前状态，以便为使研究软件公平和开放提供建议。
The Open Science agenda holds that science advances faster when we can build on existing results. Therefore, research data must be FAIR (Findable, Accessible, Interoperable, and Reusable) in order to advance the findability, reproducibility and reuse of research results. Besides the research data, all the processing steps on these data - as basis of scientific publications - have to be available, too.For good scientific practice, the resulting research software should be both open and adhere to the FAIR principles to allow full repeatability, reproducibility, and reuse. As compared to research data, research software should be both archived for reproducibility and actively maintained for reusability.The FAIR data principles do not require openness, but research software should be open source software. Established open source software licenses provide sufficient licensing options, such that it should be the rare exception to keep research software closed.We review and analyze the current state in this area in order to give recommendations for making research software FAIR and open.