PLOS Open Science Indicators

This dataset contains article metadata and information about Open Science Indicators for approximately 71,000 research articles published in PLOS from 1 January 2019 to 31 December 2022 and a set of approximately 7,600 comparator articles published in non-PLOS journals. This is the second release of this dataset, which will be updated with new versions as newly published content is analysed. This version of the Open Science Indicators dataset focuses on detection of three Open Science practices by analysing the XML of published research articles: Sharing of research data, in particular data shared in data repositories Sharing of code Posting of preprints The dataset provides data and code generation and sharing rates, the location of shared data and code (whether in Supporting Information or in an online repository). It also provides preprint sharing rates as well as details of the shared preprint, such as publication date, URL and preprint server used. Additional data fields are also provided for each article analysed, such as geographic information (‘Country’) and research topics (‘Discipline’). Further information on the methods used to collect and analyse the data can be found in OSI-Methods-Statement_v2_Mar23.pdf with accompanying information in OSI-Column-Descriptions_v2_Mar23.pdf and OSI-Repository-List_v1_Dec22.xlsx. Further information on the principles and requirements for developing Open Science Indicators is available in https://doi.org/10.6084/m9.figshare.21640889. The data files PLOS-Dataset_v2_Mar23.csv and Comparator-Dataset_v2_Mar23.csv contain descriptive metadata, e.g. article title, publication data, author countries, is taken from the article .xml files additional information around the Open Science Indicators derived algorithmically, using Natural Language Processing. The OSI-Summary-statistics_v2_Mar23.xlsx file contains the summary data for both PLOS-Dataset_v2_Mar23.csv and Comparator-Dataset_v2_Mar23.csv used in https://theplosblog.plos.org/2023/03/open-science-indicators/. <br> <strong>Contact details for further information:</strong> Iain Hrynaszkiewicz, Director, Open Research Solutions, PLOS, [e-mail] / [e-mail] Lauren Cadwallader, Open Research Manager, PLOS, [e-mail] / [e-mail] <br> <strong>Acknowledgements:</strong> Thanks to Allegra Pearce and Tim Vines of DataSeer for contributing to data acquisition and supporting information.

本数据集收录了2019年1月1日至2022年12月31日发表于公共科学图书馆（PLOS）的约71000篇研究论文的元数据，以及对应开放科学指标（Open Science Indicators）相关信息；同时包含约7600篇发表于非PLOS期刊的对照论文相关信息。本数据集为第二版发布，后续将随着新发表内容的分析更新迭代。

本版开放科学指标数据集通过分析已发表研究论文的XML文件，识别三类开放科学实践：研究数据共享（尤其是存储于数据仓储中的共享数据）、代码共享，以及预印本发布。数据集提供了数据与代码的生成及共享率、共享数据与代码的存储位置（是否附于支持信息（Supporting Information）或在线仓储中）；同时提供了预印本共享率，以及共享预印本的详细信息，如发布日期、URL及所用预印本平台。

此外，本数据集还为每篇分析论文提供了额外数据字段，例如地理信息（"国家/地区"）与研究主题（"学科"）。

有关数据收集与分析方法的详细说明，可查阅OSI-Methods-Statement_v2_Mar23.pdf；相关字段说明可参考OSI-Column-Descriptions_v2_Mar23.pdf；仓储列表可查阅OSI-Repository-List_v1_Dec22.xlsx。有关开放科学指标开发的原则与要求的更多信息，可访问https://doi.org/10.6084/m9.figshare.21640889。

数据文件PLOS-Dataset_v2_Mar23.csv与Comparator-Dataset_v2_Mar23.csv包含描述性元数据，例如论文标题、发表信息、作者所属国家，这些信息源自论文XML文件，同时包含通过自然语言处理（Natural Language Processing）算法推导得到的开放科学指标相关补充信息。OSI-Summary-statistics_v2_Mar23.xlsx文件包含上述两个数据集的汇总统计数据，该数据已应用于https://theplosblog.plos.org/2023/03/open-science-indicators/一文。

<br> <strong>进一步咨询联系方式：</strong> 伊恩·赫里亚斯兹凯维奇（Iain Hrynaszkiewicz），开放研究解决方案总监，PLOS，邮箱：[e-mail] / [e-mail]；劳伦·卡德沃拉德（Lauren Cadwallader），开放研究经理，PLOS，邮箱：[e-mail] / [e-mail]
<br> <strong>致谢：</strong> 感谢DataSeer的阿莱格拉·皮尔斯（Allegra Pearce）与蒂姆·瓦因斯（Tim Vines）为数据获取与信息支持提供的贡献。