大数据视域下高校开展精准资助工作的路径研究
Research on the Path of Precise Funding Work in Universities from the Perspective of Big Data
李美丹1
作者信息
摘要
资助工作是高校日常工作的重要组成部分,资助工作的精准开展是确保其工作目的精准实现的重要保证.伴随信息技术的普及和发展,大数据技术也被广泛应用到高校资助工作中.高校为了增强资助工作精的精准性,要积极构建一支高素质复合型资助工作队伍,来搭建和优化数据化资助平台,不断探索行之有效的资助工作路径,促进资助工作科学、规范、高效开展.
Abstract
Funding work is an important component of the daily work of universities,and the precise implementation of funding work is an important guarantee to ensure the precise achievement of its work objectives.With the popularization and development of information technology,big data technology has also been widely applied in university funding work.In order to enhance the precision of funding work,universities should actively build a high-quality and composite funding work team to build and optimize a data-driven funding platform,continuously explore effective funding work paths,and promote scientific,standardized,and efficient funding work.
关键词
资助队伍/数据化平台/安全机制Key words
funding team/data-driven platform/security mechanism引用本文复制引用
基金项目
重庆开放大学重庆工商职业学院学校科研项目(2021)(SZYB2021-061)
出版年
2024
NETL
NSTL
万方数据