University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex

<b>Two Datasets: works_published and works_cited</b><b> </b>for year 2022 from OpenAlex database.Check license https://github.com/ourresearch/openalex-docs/blob/main/license.md "OpenAlex data is made available under the CC0 license. That means it's in the public domain, and free to use in any way you like. We appreciate attribution where it's convenient, but it's not at all necessary. There is one exception: the MAG Format snapshot is released under ODC-BY, as per the original MAG license applied by Microsoft (it reuses their schema). See the LICENSE.txt file in the MAG format snapshot distribution for attribution requirement details."<b>Data Quality Considerations:</b>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.Our current data quality assessment showed the precision and recall 95%+.The first dataset "works_published", as constructed in the provided sources, refers to the <b>publications authored by individuals affiliated with the University of Arizona (UArizona)</b>. The data is retrieved using the <b>OpenAlexR package</b> by querying the OpenAlex database with UArizona's Research Organization Registry (ROR) ID (03m2x1q45) and specific publication date ranges. Key aspects of this dataset:<b>Scope:</b> It contains records of scholarly works associated with UArizona authors, including various publication types such as <b>journals, repositories (like PubMed and arXiv), and others</b>. It is also possible to filter the results to include only <b>"journal" type publications</b> using the primary_location.source.type = "journal" parameter in the oa_fetch function.<b>Temporal Coverage:</b> The sources demonstrate fetching data for specific years (e.g., 2019, 2020, 2021, 2022, 2023).<b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.<b>Data Structure:</b> Each record in this dataset represents a publication and includes various fields. Certain fields are data frames.<b>Usage:</b> This dataset is used as a starting point for various data analyses and data mining.The second dataset "works_cited", refers to <b>scholarly works cited by the publications within the</b><b> </b><b>works_published</b><b> </b><b>dataset</b>. It is created by extracting the OpenAlex IDs from the $referenced_works field of the works_published data and then using the oa_fetch function to retrieve the full metadata for these cited works. Key aspects of this dataset:<b>Scope:</b> It includes metadata for a wide range of scholarly works that have been cited by UArizona-affiliated publications. This can encompass <b>articles, books, preprints, book chapters, and other types of scholarly outputs</b>.<b>Data Derivation:</b> The dataset is derived from the referenced_works field of the works_published dataset.<b>Data Structure:</b> Each record in this dataset represents a cited work and contains various fields retrieved by the OpenAlex API.The third file (institution_publications.r) is the source code to get the above dataset.Note the code retrieves additional years in addition to 2022.<b>Usage:</b> Both datasets are crucial for performing publication and citation analysis and mining, including:Identifying the most frequently cited works and journals.Analyzing the journal usage and publisher distribution of cited works.Understanding the scholarly landscape influencing UArizona research.Identifying potential resources for library collections based on citation frequency.Investigating the presence and frequency of citations from specific publishers or to specific works.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to [e-mail]</i><br><i>This item is part of University of Arizona authors' scholarly works published and cited works</i>

<b>两个数据集：已发表成果（works_published）与被引成果（works_cited）</b> 源自OpenAlex数据库2022年的公开数据。相关许可协议请参阅：https://github.com/ourresearch/openalex-docs/blob/main/license.md。"OpenAlex数据采用CC0协议发布，即数据已进入公共领域，可自由用于任何场景；若方便可标注来源，但并非强制要求。唯一例外情况为：微软（Microsoft）基于原有MAG协议发布的MAG格式快照采用ODC-BY协议（其复用了微软的元数据架构），相关署名要求详情请参见MAG格式快照分发包中的LICENSE.txt文件。"<b>数据质量考量（Data Quality Considerations）</b>：OpenAlex通过算法与机构协作提升了数据准确性，当前数据质量评估显示其精确率与召回率均达95%以上。第一个数据集"已发表成果（works_published）"按照给定数据源构建，指代<b>隶属于亚利桑那大学（University of Arizona，简称UArizona）的作者所发表的学术成果</b>。数据通过<b>OpenAlexR包（openalexR）</b>查询OpenAlex数据库获取，查询参数包括亚利桑那大学的研究组织标识符（Research Organization Registry，简称ROR）ID：03m2x1q45，以及特定的出版日期范围。该数据集的核心信息如下：<b>覆盖范围（Scope）</b>：收录与亚利桑那大学作者相关的学术成果记录，涵盖多种出版类型，包括<b>期刊论文、仓储类文献（如PubMed、arXiv等）及其他类型成果</b>。用户可通过在oa_fetch函数中设置primary_location.source.type = "journal"参数，将结果筛选为仅期刊类出版物。<b>时间跨度（Temporal Coverage）</b>：数据源支持获取特定年份的成果数据（如2019、2020、2021、2022、2023年）。<b>数据获取方式（Data Retrieval）</b>：该流程通过openalexR包中的oa_fetch函数实现，需指定entity="works"参数与关联机构的ROR标识。<b>数据结构（Data Structure）</b>：每条记录对应一篇学术出版物，包含多个字段，其中部分字段为数据框格式。<b>应用场景（Usage）</b>：本数据集可作为各类数据分析与数据挖掘任务的基础数据源。第二个数据集"被引成果（works_cited）"指代<b>已发表成果（works_published）数据集中的成果所引用的学术文献</b>。其构建方式为：从已发表成果数据集的$referenced_works字段中提取OpenAlex标识符，再通过oa_fetch函数获取这些被引成果的完整元数据。该数据集的核心信息如下：<b>覆盖范围（Scope）</b>：收录亚利桑那大学作者的已发表成果所引用的各类学术成果的元数据，涵盖<b>期刊论文、专著、预印本、图书章节及其他学术产出类型</b>。<b>数据衍生方式（Data Derivation）</b>：本数据集由已发表成果数据集的referenced_works字段衍生而来。<b>数据结构（Data Structure）</b>：每条记录对应一篇被引学术成果，包含通过OpenAlex API获取的各类元数据字段。第三个文件institution_publications.r为获取上述数据集的源代码，需注意该代码除2022年外，还会获取其他年份的数据。<b>应用场景（Usage）</b>：两个数据集均为开展出版物与引文分析及挖掘任务的核心数据源，可用于：识别高被引学术成果与高被引期刊、分析被引成果的期刊使用情况与出版商分布、解析影响亚利桑那大学科研工作的学术生态、根据引文频率识别图书馆馆藏的潜在资源、调研特定出版商的引文占比或特定成果的被引情况。<br><br><i>若对数据集内容有疑问，请联系README.txt文件中列出的通讯作者。行政类咨询（如数据移除请求、下载故障等）可发送至[e-mail]。</i><br><i>本数据集隶属于亚利桑那大学作者的已发表学术成果与被引成果集合。</i>