five

Research data supporting "A Comprehensive, Validated Dataset of Journals from Beall’s List of Potentially Predatory Publishers"

收藏
DataCite Commons2025-10-27 更新2026-01-12 收录
下载链接:
https://www.repository.cam.ac.uk/handle/1810/387072
下载链接
链接失效反馈
官方服务:
资源简介:
Predatory journals are entities within academia which publish work without high quality peer review, and falsely promise widespread reach, indexing in reputable databases, rapid publication times, low or no article processing charges and aggressive solicitation of legitimate researchers for submission. There is currently no freely available database of individual journal titles which are thought to be potentially predatory. This dataset comprises a list of such journals generated from Beall’s list of potentially predatory publishers. This dataset of 42,896 journals may be used to guide researchers across all fields, but particularly within biomedical academia when considering submission of their work for publication and when evaluating unsolicited email contact from journals. Dataset generated by web scraping of list of publishers from Beall's list of predatory publishers, validated against the National Library of Medicine, Directory of Open Access Journals, Web of Science, Scopus and Embase bibliographic registries.
提供机构:
Apollo - University of Cambridge Repository
创建时间:
2025-07-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作