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：本数据集收录了基于联合国可持续发展目标（Sustainable Development Goals，SDG）八大区域分类的全球期刊信息，涵盖中南亚、欧洲、东亚与东南亚、拉丁美洲、北非与西亚、大洋洲、北美以及撒哈拉以南非洲，上述期刊均被Web of Science/Scopus收录，且可在Ulrich期刊目录（Ulrich periodical directory）中获取。本数据集通过将Ulrich期刊目录中的期刊信息与Web of Science及Scopus的期刊信息进行匹配构建而成。 数据构建流程： 1. 整合社会科学引文索引（SSCI）、科学引文索引（SCI）、艺术与人文引文索引（AHCI）与新兴资源引文索引（ESCI）的Web of Science期刊列表，合并后剔除重复记录，构建得到包含21908种唯一期刊的Web of Science核心期刊总表。 2. 本研究仅纳入Scopus数据库中的活跃学术期刊：即从Scopus的43013条数据源中剔除重复项、所有非活跃来源、行业期刊、图书丛刊、专著与会议论文集后，最终纳入26029种活跃期刊。 3. 从Ulrich期刊目录中收集239个国家的期刊列表，并按区域进行分类分析；剔除重复项后，得到包含83429种唯一活跃学术期刊的数据库。 4. 为构建区域与全球数据集，分别移除区域级与全球级数据集中的重复期刊。 5. 将从Web of Science、Scopus与Ulrich期刊目录获取的核心期刊列表导入SQL数据库以支持查询操作。 期刊匹配分为两个步骤：首先，利用Web of Science与Scopus中期刊的国际标准连续出版物编号（ISSN）将期刊记录与Ulrich期刊目录进行匹配；对于剩余未匹配的期刊，第二步通过期刊标题进行匹配，并对匹配结果进行人工核验以降低假阳性概率。 通过上述两步匹配流程，我们成功将Web of Science数据库中92.46%（20255种）的期刊，以及Scopus数据库中89.70%（23349种）的学术期刊与Ulrich在线期刊目录（Ulrichsweb）完成匹配。