In the context of reforming talent evaluation in science and technology to address the issue of the"four only"and establish new standards,the utilization of data-driven technology to objectively and comprehensively uncover the po-tential of talents and create a tagging system for identifying young talents holds great significance for the early discovery and allocation of talents,as well as for promoting national scientific and technological innovation.This study introduces a method for profiling and identifying young scientific and technological talents.First,a youth scientific and technological talent profile is constructed from six dimensions:basic attributes,research direction,academic productivity,academic influ-ence,innovation potential,and cooperation ability,in line with the current evaluation orientation of talent evaluation.Sec-ond,a talent profile model is developed based on knowledge graphs,and multi-source data are collected to build a profile database.Finally,young scientific and technological talents are identified through unsupervised clustering analysis and su-pervised data search.The experimental test was conducted on young scholars in the field of information resource manage-ment.The results demonstrate that this method comprehensively explores the characteristics and inherent patterns of tal-ents,meeting the actual needs of talent identification with good accuracy and showing promising feasibility,effectiveness,and interpretability.
维普
万方数据