Dataset for Bibliometric Data-Driven Research Team Formation

The dataset contains csv tables regarding the individual expertise and teamwork skills of scholars affiliated with Politehnica University of Timisoara – Romania. The variables included in the dataset were computed from IEEE Xplore bibliometric metadata, extracted on July 4, 2023 using IEEE Xplore Metadata Search API, for the period 2010-2022. A total of 1992 publications, authored by 1179 researchers, have been collected. The domains of expertise are modeled by key terms extracted from paper metadata. In this respect, the dataset contains four collections: a) Case#1 - key terms from publications are extracted from 'title', 'keywords', and 'abstract' metadata fields (6493 key terms); Case#2 - key terms from publications are extracted from 'title' and 'keywords' metadata fields (2651 key terms); Case#3 - key terms from publications are extracted from 'title' metadata fields (1844 key terms); and, Case#4 - key terms from publications are extracted from 'keywords' metadata fields (1254 key terms). Each of these collections contains nine csv tables. For each of the anonymized authors (columns ‘IDx’), table "Individual_Expertise_and_Collaborators" contains the total number of publications, citations, citations in patents, downloads, coauthors with the same affiliation, and, coauthors with other affiliations in lines ‘publications’, ‘citations’, ‘citations_patents’, ‘downloads’, ‘internal_collaborators’, and, ‘external_collaborators’, respectively. Four tables describe the collaborations among pairs of scholars by offering the number of coauthored publications (table "Collaborations_number"), the number of citations received by coauthored publications (table "Collaborations_citations"), the number of citations in patents received by coauthored publications (table "Collaborations_citations_patents), and the number of downloads received by coauthored publications ("Collaborations_downloads"), respectively. The rest of the tables have the same structure, the columns representing the identified key terms and the lines representing the anonymized authors. In these tables, a cell corresponds to the number of publications (table “KeyTerms_number”), the number of citations (table “KeyTerms_citations”), the number of citations in patents (table “KeyTerms_citations_patents”), and the number of downloads (table “KeyTerms_downloads”) received by the publications containing the specified key term, respectively.

本数据集收录了罗马尼亚蒂米什瓦拉理工大学学者个人专长与合作技能的 csv 表格。数据集中所包含的变量均由 IEEE Xplore 统计元数据计算得出，这些元数据于 2023 年 7 月 4 日通过 IEEE Xplore 元数据搜索 API 提取，涵盖了 2010 至 2022 年间的数据。共计收集了 1992 篇由 1179 位研究人员撰写的出版物。专家领域通过从论文元数据中提取的关键术语进行建模。具体而言，数据集包含四个集合：a) 案例一——从论文的“标题”、“关键词”和“摘要”元数据字段中提取关键术语（共 6493 个关键术语）；b) 案例二——从论文的“标题”和“关键词”元数据字段中提取关键术语（共 2651 个关键术语）；c) 案例三——从论文的“标题”元数据字段中提取关键术语（共 1844 个关键术语）；以及 d) 案例四——从论文的“关键词”元数据字段中提取关键术语（共 1254 个关键术语）。每个集合包含九个 csv 表格。对于每个匿名作者（列 'IDx'），表格“个人专长与合作者”包含了出版物总数、引用次数、专利引用次数、下载次数、同单位合著者以及与其他单位合著者的数量，分别对应于“出版物”、“引用”、“专利引用”、“下载”、“内部合作者”和“外部合作者”行。四个表格通过提供合著出版物数量（表格“合著数量”）、合著出版物收到的引用次数（表格“合著引用”）、合著出版物收到的专利引用次数（表格“合著专利引用”）以及合著出版物收到的下载次数（表格“合著下载”）来描述学者之间的合作。其余表格结构相同，列代表识别出的关键术语，行代表匿名作者。在这些表格中，单元格对应于包含指定关键术语的出版物收到的出版物数量（表格“关键词数量”）、引用次数（表格“关键词引用”）、专利引用次数（表格“关键词专利引用”）和下载次数（表格“关键词下载”）。