首页|青年科技人才画像及鉴识方法研究

青年科技人才画像及鉴识方法研究

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在"破四唯""立新标"的科技人才评价改革背景下,借助数据驱动技术客观、全面地挖掘人才潜力,挖掘青年科技人才识别标签,对实现人才的早期发现与配置、促进国家科技创新发展具有重要意义.本研究提出青年科技人才画像与鉴识方法.首先,基于新时期人才评价导向,从基础属性、研究方向、学术生产力、学术影响力、创新潜力和合作能力六个维度构建青年科技人才画像与标签体系;其次,基于知识图谱搭建人才画像模型,采集多源数据形成画像数据库;最后,通过无监督的聚类分析和有监督的数据搜索实现优秀青年科技人才的识别,并对信息资源管理领域的青年学者进行了检验.结果表明,该方法较全面地挖掘了人才特征及其内在规律,能够有效适应人才识别的实际需求,鉴别精度较好,具备一定的可行性、有效性和可解释性.
Research on the Profile and Identification Method of Young Scientific and Technological Talents
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.

S&T talenttalent identificationtalent profileknowledge graphS&T evaluation

张洋、黄子萱、朱嘉麒

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中山大学信息管理学院,广州 510006

中山大学港澳珠江三角洲研究中心,广州 510275

中山大学粤港澳发展研究院,广州 510275

科技人才 人才鉴识 人才画像 知识图谱 科技评价

2024

情报学报
中国科学技术情报学会 中国科学技术信息研究所

情报学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.296
ISSN:1000-0135
年,卷(期):2024.43(11)