Ulrich, Web of Science and Scopus Global Journal Coverage Data: Classification by Regions

Introduction: These datasets contain information about journals in the eight regions of the world based on United Nations SDG classification (Central& Southern Asia, Europe, Eastern &South Eastern Asia, Latin America, North Africa& Western Asia, Oceania, North America and Sub-Saharan Africa) that are indexed in Web of Science/Scopus and are available in Ulrich periodical directory. The datasets were created by matching Ulrich journal information with journal information from Web of Science and Scopus.

Data Creation: A single Web of Science master journal list was created for SSCI, SCI, AHCI and ESCI by combining and removing duplicate records from their lists; the Web of Science master journal contained 21,908 unique journals. Only active scholarly journals from Scopus were included in this study; i.e. duplicates, all inactive sources, trade journals, book series, monographs and conference proceedings were removed. 26,029 active journals of the 43,013 sources in Scopus were included. Journal lists from 239 countries were collected from Ulrich comprehensive periodical directory and analyzed by region. After removal of duplicates, this generated a database of 83,429 unique active academic journals. To compile regional and global datasets, duplicate journals in the regional and global levels, respectively, were removed. The master journal lists created from Web of Science, Scopus and Ulrich were transferred to an SQL database for querying. Journal matching was carried out in two steps. Firstly, the ISSN numbers of journals in Web of Science and Scopus were used to match journal records to Ulrich. In the second step, the remaining journals were then matched using their titles, and these matches were manually verified to reduce the chances of false positives. Using these two steps, we were able to match 20,255 (92.46%) of the journals in Web of Science, and 23,349 (89.70%) of the academic journals from Scopus, with Ulrichsweb journal list.

引言：本数据集收录了世界八大区域（包括中亚及南亚、欧洲、东亚及东南亚、拉丁美洲、北非及西亚、大洋洲、北美洲及撒哈拉以南非洲）的期刊信息，这些期刊依据联合国可持续发展目标分类体系（SDG）进行划分，并已在《科学引文索引》（Web of Science）/《斯高帕斯》（Scopus）中索引，同时在《乌尔里希期刊目录》中可供查询。数据集的构建通过将《乌尔里希期刊目录》中的期刊信息与《科学引文索引》和《斯高帕斯》中的期刊信息进行匹配而成。

数据生成：为SSCI、SCI、AHCI及ESCI创建了单独的《科学引文索引》主期刊列表，通过合并各列表并剔除重复记录，最终形成了包含21,908种独特期刊的主列表。本研究仅纳入《斯高帕斯》中的活跃学术期刊；即移除了重复记录、所有非活跃来源、商业期刊、书籍系列、专著及会议论文。在《斯高帕斯》的43,013个来源中，共有26,029种活跃期刊被纳入研究。从涵盖239个国家的《乌尔里希综合期刊目录》中收集了期刊列表，并按区域进行分析。在剔除重复记录后，形成了包含83,429种独特活跃学术期刊的数据库。为编制区域性和全球性数据集，分别移除了区域及全球层面的重复期刊。《科学引文索引》、《斯高帕斯》及《乌尔里希》创建的主期刊列表被转移至SQL数据库以供查询。期刊匹配分为两个步骤进行。首先，利用《科学引文索引》和《斯高帕斯》中期刊的ISSN号码将期刊记录与《乌尔里希》进行匹配。其次，使用期刊标题对剩余的期刊进行匹配，并通过人工验证减少误匹配的可能性。通过这两个步骤，我们成功地将《科学引文索引》中的20,255种（92.46%）期刊和《斯高帕斯》中的23,349种（89.70%）学术期刊与《乌尔里希》期刊列表相匹配。