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.本数据集包含罗马尼亚蒂米什瓦拉理工大学（Politehnica University of Timisoara）附属学者的个人学术专长与团队协作技能相关的CSV表格。数据集内的变量均基于IEEE Xplore文献计量元数据（bibliometric metadata）计算所得，这些元数据于2023年7月4日通过IEEE Xplore元数据搜索API提取，时间跨度为2010年至2022年。本次共收集到1179名研究人员撰写的1992篇学术出版物。 本数据集的学术专长领域通过从论文元数据中提取的关键词进行建模。据此，数据集包含四个子集： a) 案例1：从出版物的「标题」「关键词」「摘要」元数据字段中提取关键词（共6493个关键词）； b) 案例2：从出版物的「标题」「关键词」元数据字段中提取关键词（共2651个关键词）； c) 案例3：仅从出版物的「标题」元数据字段中提取关键词（共1844个关键词）； d) 案例4：仅从出版物的「关键词」元数据字段中提取关键词（共1254个关键词）。 每个子集均包含9个CSV表格。针对每位匿名作者（以「IDx」列标识），表格「Individual_Expertise_and_Collaborators」的行分别对应「publications」「citations」「citations_patents」「downloads」「internal_collaborators」「external_collaborators」字段，依次记录其总出版物数、总被引频次、专利引用量、下载量、同机构合作作者数与外机构合作作者数。 另有四张表格用于描述学者间的成对协作关系：「Collaborations_number」记录合著出版物数量，「Collaborations_citations」记录合著出版物的总被引频次，「Collaborations_citations_patents」记录合著出版物的专利引用量，「Collaborations_downloads」记录合著出版物的总下载量。 剩余表格结构统一：列代表已识别的关键词，行代表匿名作者。其中： - 「KeyTerms_number」表格的单元格数值为包含对应关键词的出版物总量； - 「KeyTerms_citations」表格的单元格数值为包含对应关键词的出版物总被引频次； - 「KeyTerms_citations_patents」表格的单元格数值为包含对应关键词的出版物专利引用总量； - 「KeyTerms_downloads」表格的单元格数值为包含对应关键词的出版物总下载量。