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Institution information specification and correlation based on institutional PIDs and IND tool

Author

Listed:
  • Yongwen Huang

    (Agricultural Information Institution of CAAS)

  • Jiao Li

    (Agricultural Information Institution of CAAS)

  • Tan Sun

    (Agricultural Information Institution of CAAS
    Ministry of Agriculture)

  • Guojian Xian

    (Agricultural Information Institution of CAAS
    Ministry of Agriculture)

Abstract

Institution information specification and correlation is a necessity for research evaluation and resource sharing, current attempts are mainly focused on institution name disambiguation (IND) based on institution name, address, author, et al., and lack of a unified and universal indicator. To enhance the correlation of institution information, institutional persistent identifier (PID) is introduced in this study, together with a redesigned tool based on existing techniques of IND. And an institution metadata specification model is built for data preprocess by inheriting some authoritative metadata standards. Further, a visual platform is implemented to demonstrate the correlated institution information and supports institution query. The performance of the proposed approach is evaluated on large datasets of three countries, and the test results demonstrate that the precision and recall are high.

Suggested Citation

  • Yongwen Huang & Jiao Li & Tan Sun & Guojian Xian, 2020. "Institution information specification and correlation based on institutional PIDs and IND tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 381-396, January.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03268-9
    DOI: 10.1007/s11192-019-03268-9
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