高校大数据治理运行机制：功能、问题及完善对策
Functions, Problems and Countermeasures of the Operating Mechanism of Big Data Governance in Colleges and Universities

构建大数据治理运行机制是高校对大数据时代的积极 回应，也是高校大数据治理顺利进行的必然选择。高校大数 据治理运行机制的组成要素主要包括运行制度、运行主体、 运行程序，具有行为规范功能、关系协调功能、资源配置功 能。当前，高校大数据治理运行机制存在诸多问题，制度供 给相对滞后、数据标准推进缓慢、共治格局尚未形成。鉴于 高校大数据治理运行机制是一个由不同维度的机制组成的复 合性机制，它的完善可从建立三大机制入手：自上而下的执 行机制、自下而上的采集机制、多元协同的互动机制。
Building an operating mechanism of big data governance is an active response to the big data era and a natural choice for smooth governance at colleges and universities. It consists of an operation system, an operator and operation procedures. It provides functions of behavior compliance, relationship coordination, and resource allocation. Currently there are many problems in the operation mechanism, for example, the relative lag of system supply, the slow progress of data standardization, and the lack of co-governance. Since it is not a simple operation mechanism but a complicated one with different dimensions, it must be perfected by establishing the top-down implementation mechanism, the bottom-up collection mechanism and the interaction mechanism of multi-synergy.