Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Aiming at the avoidance problem in the selection of peer review experts for scientific research projects, this paper tries to put forward a set of feasible model methods to determine the avoidance experts, so as to avoid the interference of interpersonal relationship on the evaluation work and ensure the standardization and fairness of scientific research evaluation.[Method/process] Firstly, the paper cooperation relationship between experts and applicants was taken as the entry point, and the cooperation intensity, the depth of co-authors, the direction matching degree and the review performance were taken as the main indicators. Then, the comprehensive weight and modified TOPSIS were used to analyze each index, and the quantitative model of expert avoidance for scientific research projects was constructed. Finally, according to the specified number of members of the expert group, considering the distribution of age, institution, gender, etc., the experts that should be avoided were identified.[Result/conclusion] Through case analysis, it is found that this model effectively avoids the problem of "only cooperation theory" when giving the list of experts to avoid, and has sufficient reasons to avoid, which meets the requirements of expert selection of the Ministry of Science and Technology Management and can provide certain decision support for expert selection.
Hits
Hits
Downloads
Comment