Dataset from: Leveraging open tools to realize the potential of self-archiving: A cohort study in clinical trials

This record includes the data associated with the study "Leveraging open tools to increase the potential of self-archiving to increase discoverability: A cohort study in clinical trials". The code used to generate these data is available under an open license in GitHub (https://github.com/delwen/oa-archiving-permissions). The deposit includes: - `intovalue.csv`: download of the IntoValue dataset (IntoValue 1 and IntoValue 2), which is actively maintained in GitHub (https://github.com/maia-sh/intovalue-data). The data was downloaded on 3 October 2022. More information on the generation of this dataset can be found at: https://doi.org/10.5281/zenodo.5141343. This data corresponds to the start of the trial screening flow diagram in the manuscript (n = 3,788). - `oa-unpaywall.csv`: dataset containing the results of the Unpaywall API query (query date: 3 October 2022). The dataset queried includes the following adaptations from `intovalue.csv`: As updated registry data had been downloaded on 19 May 2022, the IntoValue inclusion criteria were re-applied: Interventional Study completion date between 2009 and 2017 Complete based on study status Conducted by a German university medical center. The dataset was further limited to: Unique trials (trials from IntoValue 2 were preserved) Unique publications with a DOI - `oa-syp-permissions.csv`: dataset containing the results of the Shareyourpaper API query (query date: 3 October 2022). The dataset queried is the same as in `oa-unpaywall.csv`. - `oa-merged-data.csv`: dataset containing the merged Unpaywall and Shareyourpaper data for all clinical trial results publications considered in this study. The dataset was further limited to publications that resolved in Unpaywall and were published between 2010 - 2020 (based on the publication date in Unpaywall). This is the main dataset underlying the analyses in the manuscript.本数据集关联研究《利用开放工具提升自存档的可发现性潜力：一项临床试验队列研究》（Leveraging open tools to increase the potential of self-archiving to increase discoverability: A cohort study in clinical trials）。用于生成本数据集的代码以开放许可发布于GitHub（https://github.com/delwen/oa-archiving-permissions）。本数据集包含以下内容： - `intovalue.csv`：取自IntoValue数据集（包含IntoValue 1与IntoValue 2），该数据集由GitHub持续维护（https://github.com/maia-sh/intovalue-data），数据下载于2022年10月3日。该数据集的生成详情可参考：https://doi.org/10.5281/zenodo.5141343。此数据对应手稿中试验筛选流程图的起始样本量（n=3788）。 - `oa-unpaywall.csv`：包含Unpaywall API查询结果的数据集（查询日期：2022年10月3日）。本次查询的数据集基于`intovalue.csv`进行了如下适配调整： 由于注册数据已于2022年5月19日完成更新下载，故重新应用了IntoValue纳入标准： 1. 干预性研究完成日期介于2009至2017年之间 2. 根据研究状态判定为已完成研究 3. 研究由德国大学医学中心开展 本数据集进一步限定为： 1. 唯一试验（保留IntoValue 2中的试验） 2. 带有DOI的唯一出版物 - `oa-syp-permissions.csv`：包含Shareyourpaper API查询结果的数据集（查询日期：2022年10月3日）。本次查询的数据集与`oa-unpaywall.csv`完全一致。 - `oa-merged-data.csv`：包含本研究所有纳入的临床试验结果出版物的Unpaywall与Shareyourpaper合并数据的数据集。本数据集进一步限定为：在Unpaywall中可解析且出版日期介于2010至2020年的出版物（基于Unpaywall记录中的出版日期）。该数据集为本手稿中各项分析的核心数据集。