Data Management and Solutions at the Open University from a Big Data Analysis Perspective

From the perspective of big data, combined with the context of open education in universities, several key findings emerge from big data analysis in open education. First, it is essential to break down information barriers through relevant information technologies to achieve genuine campus openness. Second, universities should provide relevant data and information to support the development of an open university. This includes exploring the applications of big data analytics in open education and its extended uses in teaching services, campus services, and campus management. Third, data sharing and reuse should be facilitated through the construction of mutual platforms. Furthermore, hierarchical management should be implemented alongside intelligent applications, strengthened by top-level design. Pilot studies on Smart Alliance Campuses—which refer to campuses closely integrated with smart machines and software—shouldbe initiated. Additionally, protecting data privacy and enhancing information security are critical. Overall, these findings highlight the need for comprehensive governance of big data in education. The solutions include: ◠Platform interoperability, data sharing, and reuse. ◠Hierarchical management and intelligent applications. ◠Enhancing top-level design through smart alliance campuses. ◠Protecting data, maintaining privacy, and enhancing information security. ◠Integrating big data governance into education.