高校数据管理的优化路径

Optimization Approaches for University Data Management

摘要: 本文针对教育数字化转型背景下高校数据治理的现实需求，系统分析了当前高校在数据治理方面取得的进展与存在的核心问题，包括数据孤岛、质量参差不齐、治理机制不完善、安全风险及专业人才短缺等。研究基于数据生命周期管理与数据治理理论，从目标权责统一、数据整合与质量控制、价值转化与闭环治理、安全防护强化以及人才梯队建设五个维度，提出了一套分层递进的优化路径与实践对策，旨在推动高校数据治理从分散探索走向系统实施，为提升教学管理与决策的精准化水平，实现数据驱动的高质量发展提供理论参考与实践框架。

Abstract: In response to the practical needs of university data governance under the background of educational digital transformation, the current progress and core issues in this area were systematically analyzed, including data silos, uneven data quality, imperfect governance mechanisms, security risks, and shortage of professionals. Based on the theories of data lifecycle management and data governance, a set of layered and progressive optimization paths and practical countermeasures was proposed from five dimensions: unified objectives and responsibilities, data integration and quality control, value transformation and closed-loop governance, enhanced security protection, and talent team building. This framework aims to promote the transition of university data governance from fragmented exploration to systematic implementation. It provides theoretical references and a practical framework for improving the precision of teaching, management, and decision-making, and for achieving high-quality, data-driven development.