Research on structured and secure data governance
Xia Liu, Xuelong Wang, ChangLin Ren · 2023
With the development of "Internet+Education", universities are facing the leap from digital campus to smart campus. However, data silos, incomplete data, data leakage and dirty data are common problems in universities, which hinder the construction of smart campus. In order to break through barriers and achieve secure data usage, this paper proposes a data governance framework and a multi-layer protection mechanism. The data governance framework divides all elements involved in the data life cycle into four subjects, and ensures the effectiveness and feasibility of data governance through their mutual cooperation. The multi-layer protection mechanism is designed to ensure the data security as much as possible by segregating the data in layers based on operation attributes. After practice, the level of campus data governance under the guidance of this paper has been greatly improved.