Data and code to compare metadata quality of Figshare records related electronic theses and disserations

These datasets and code support an examination of how well research outputs associated with electronic theses and dissertations (ETDs), and shared on the Figshare platform, adhere to the _{FAIR principles}. <br> Metadata were harvested using the Figshare API (_{https://docs.figshare.com}). The resulting datasets include a 709 metadata records for datasets, figures, and media and 46 Collections that surfaced in a search for 'thesis OR dissertation.'<br> <br> Aspects of this work were _{presented as a poster} at the Southeast Data Librarian Symposium 13-15 October 2021. A link is in the references as well.<br> <br> <strong>Changes in version 2:</strong> Added link to symposium poster in description and references Added link to API documentation<br> Added README Fixed error in etd-datafullDataset-ETDs-with-collection.csv that added a row if the 'files' variable contained too many characters. Changed license from CC BY 4.0 to CC0 <br> <strong>Changes to version 3:</strong> Change title to be more generic Added updated datafiles and code Removed one record that was not related to ETDs Fixed funding information (earlier data collection did not captuer all grant information) Added negative binomial R file Record analysis includes more granular comparisons between figshare.com and institutional records<br>

本数据集与配套代码用于探究在Figshare平台共享的电子学位论文（Electronic Theses and Dissertations, ETDs）相关研究成果对_FAIR原则的遵循程度。<br>元数据通过Figshare应用程序编程接口（API）采集，具体文档见_{https://docs.figshare.com}。最终生成的数据集包含709条元数据记录，涵盖数据集、图表及多媒体素材，另有46个集合来自以"thesis OR dissertation"为关键词的检索结果。<br> <br>本研究的部分内容已于2021年10月13日至15日在东南数据馆员研讨会（Southeast Data Librarian Symposium）以海报形式展示，相关链接亦见于参考文献列表。<br> <br><strong>版本2更新内容：</strong>在描述文本与参考文献中添加研讨会海报链接；添加API文档链接；新增README文件；修复etd-datafullDataset-ETDs-with-collection.csv中的错误：当"files"变量字符数过多时会额外新增一行数据；将许可协议从CC BY 4.0更改为CC0<br> <br><strong>版本3更新内容：</strong>将标题修改为更通用的表述；添加更新后的数据集文件与代码；移除一条与电子学位论文无关的记录；修复资助信息问题（此前的数据采集未完整收录所有资助项目信息）；新增负二项分布R脚本文件；记录分析模块新增了Figshare平台与机构馆藏记录间的细粒度对比。