摘要
为向高校科技评价提供新的思路和方法,梳理国内高校科技评价研究现状,针对传统做法普遍存在需耗费大量人力物力进行数据收集和管理效率低等问题,从数据采集和评价方法两个方面分析信息化和数字化转型带来的新机遇,提出基于数据仓库的高校科技活动数据采集概念模型和基于数据挖掘的高校科技评价概念模型;并基于模型的应用需求,从数据的来源和结构多样性、属性间相关性和安全性以及模型选择重要性等方面分析高校科技评价数字化转型面临的挑战,指出数据多样性和安全性以及模型选择是目前面临的主要挑战。
In order to provide new ideas and methods of science and technology evaluation for colleges and universities,this paper sorts out current situation of science and technology evaluation researches in domestic colleges and universities,and aiming at the common problems of traditional methods that require a lot of manpower and material resources for data collection and low management efficiency,analyzes new opportunities brought by informatization and digital transformation from two aspects of data collection and evaluation methods,proposes a conceptual model for collecting scientific and technological activity data in colleges and universities based on data warehouse and a conceptual model for science and technology evaluation of colleges and universities based on data mining.And based on the model of application requirements,the paper analyzes the challenges of the digital transformation of university science and technology evaluation from the data sources and structural diversity,correlation and security as well as the importance of model selection,etc,and points out that data diversity and security and model selection are the main challenges.
作者
王泳欣
吕建秋
Wang Yongxin;Lü Jianqiu(South China Agricultural University,Guangzhou,510642,China;Guangdong Institute of Science and Technology Management and Planning,Guangzhou 510642,China)
出处
《科技管理研究》
CSSCI
北大核心
2021年第10期99-104,共6页
Science and Technology Management Research
关键词
高校科技活动
高校科技评价
信息化
数字化转型
science and technology activities of colleges and universities
science and technology evaluation of colleges and universities
informationization
digital transformation
