Types of DOI errors of cited references in Web of Science with a cleaning method

  • Shuo Xu
  • Liyuan Hao
  • Xin AnEmail author
  • Dongsheng Zhai
  • Hongshen Pang


Though the bibliographic databases, such as Web of Science (WoS), largely promote the development of scientometrics and informetrics, these databases are not free of errors. The main purpose of this work is to figure out which types of DOI errors of cited references exist, how often each type of errors occur, and whether it is possible to automatically correct these errors. After careful analysis, several classic DOI errors of cited references, such as prefix-, suffix- and other-type errors, are identified, Then, a cleaning method is put forward on the basis of regular expressions. Experimental results on the bibliographic data in the gene editing field from the WoS database indicate that our cleaning approach can improve largely the quality of DOI names of cited references.


DOI errors Cleaning method Web of Science Cited references Regular expression 



Our gratitude goes to the anonymous reviewers and the editor for their valuable comments.


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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  • Shuo Xu
    • 1
  • Liyuan Hao
    • 1
  • Xin An
    • 2
    Email author
  • Dongsheng Zhai
    • 1
  • Hongshen Pang
    • 3
  1. 1.Research Base of Beijing Modern Manufacturing Development, College of Economics and ManagementBeijing University of TechnologyBeijingPeople’s Republic of China
  2. 2.School of Economics and ManagementBeijing Forestry UniversityBeijingPeople’s Republic of China
  3. 3.Library, Shenzhen UniversityShenzhenPeople’s Republic of China

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