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.
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Acknowledgements
This work was partially supported by “Design and Research on A Next Generation of Open Knowledge Services System and Key Technologies” project (No.: 2019XM55) and “Basic Research Business Fee Project of Chinese Academy of Agricultural Science” project (No.: Y2019PT15).
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Huang, Y., Li, J., Sun, T. et al. Institution information specification and correlation based on institutional PIDs and IND tool. Scientometrics 122, 381–396 (2020). https://doi.org/10.1007/s11192-019-03268-9
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DOI: https://doi.org/10.1007/s11192-019-03268-9