Disciplinary-Oriented Talent Selection Criteria:A Case Study of the Mathematics Field
赵晶 1田素芬 1李政2
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作者信息
1. 中国科学院数学与系统科学研究院,北京 100190
2. 中国科协创新战略研究院,北京 100038
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摘要
人才遴选是一项非常复杂的系统工程,人才遴选指标在实际应用中应考虑通用文献计量指标未进行学科方向化的局限性.将定性分析和定量分析相结合,选用数学主题分类法(MSC),建立学科专家咨询团队进行定性分析,运用文献计量法、层次分析法、理想解法进行定量分析,采用MATLAB、Derwent Data Analyzer进行数据分析和处理,在通用文献计量指标基础上,以数学为例,设计了适应数学学科方向的人才遴选文献计量指标体系,包括学科指标、期刊指标、人才指标;并选取拓扑学方向作为示例,通过层次分析法和理想解法进行建模和验证,经验证后对2个人才指标进行迭代,即MSC学科方向化的CNCI-M、h-M指数.结果证明:学科方向化的文献计量指标体系更加符合科研人员认知,是一种科学分类、多维度评价的方式.
Abstract
Talent selection is a complex systematic project,and talent selection indexes should consider the limitations of generic bibliometric indexes that are not oriented to disciplines in practical application.This paper uses qualitative and quantitative analysis method,and mathematical subject classification(MSC),establishes discipline expert consulting team for qualitative analysis,and uses bibliometric method,analytic hierarchy process(AHP),and technique for order preference by similarity to an ideal solution(TOPSIS)for quantitative analysis,and adopts MATLAB and Derwent Data Analyzer on data analysis,to design a system of talent selection bibliometric indicators,including discipline index,journal index,and talent index,to acclimate certain discipline such as mathematics.Furthermore,topology research area is selected as an example,modeled and verified by AHP and TOPSIS,and CNCI-M and h-M are iterated after validation.The results proves that the discipline-oriented bibliometric index system is more in line with the researchers'cognition.
关键词
人才遴选指标/文献计量/数学主题分类法/层次分析法
Key words
talent selection criteria/bibliometrics/mathematics subject classification/analytic hierarchy process
维普
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