With the widespread application of information technology in universities, the data volume of application systems has experienced explosive growth, making data security and governance a crucial challenge in the digital transformation of higher education institutions. By analyzing the characteristics of university data including multi-source heterogeneity, privacy sensitivity, rapid growth, and dynamic variability, this study identifies key problems such as disorganized management system, outdated security technologies, high-risk data processing procedures, and inadequate regulatory frameworks. The paper proposes targeted data governance strategies including improving data security management systems, strengthening classification-based and hierarchical data protection, and raising security awareness education. These strategies aim to provide theoretical support and practical references for establishing a comprehensive and effective data security and governance framework in universities, ensuring stable operation of teaching, research, and administrative activities, and promoting sustainable informatization development in higher education.

随着信息技术在高校的广泛应用，应用系统数据量呈现爆发式增长，数据安全与治理已成为高校信息化建设面临的重要挑战。通过分析高校数据多源异构、隐私敏感、增长迅速且动态变化的特性，指出当前高校数据安全存在管理体系混乱、防护技术落后、处理环节风险高以及制度不完善等问题，提出完善数据安全管理、加强数据分类分级保护、强化安全意识等一系列有针对性的数据治理策略，旨在为高校构建全面且有效的数据安全与治理体系提供理论支持与实践参考，从而保障高校教学、科研、管理等业务的稳定运行，有力推动高校信息化建设的可持续发展。