Supply Chain Risk 2000-2020 Dataset in CNKI and WoS Databases

The data in this paper are from Chinese and English periodicals, and China HowNet is selected（ https://www.cnki.net/ ）The Core Periodicals Databases of Peking University and CSSCI are Chinese data sources, and web of science is selected（ https://clarivate.com/zh-hans/solutions/web-of-science/ ）The core collection is an English data source. Search conditions for Chinese Periodical Literature: the title is set as "supply chain risk", the time span is "2000-2021", and all literature is saved in refworks format. The retrieval conditions for English Periodical Documents: ti= "supply chain risk", the time span is "2000-2021", and all documents are saved in "plain text" format. In order to further ensure the accuracy and effectiveness of the data results, the data preprocessing function of CiteSpace software was used to filter and de duplicate the Chinese and English data respectively, and finally 1587 and 1174 effective domestic and foreign literature data were obtained.