In 2014, China Pharmaceutical University improved its campus network infrastructure, built a digital campus platform, major business systems such as learning and engineering, educational administration, personnel, finance, and asset management, and achieved remarkable results in information construction. With the school actively serving the national major strategy, the business demand has also changed from ‘management as the goal’ to ‘service as the goal’. However, the school’s basic data are inaccurate, not updated in time, incomplete data, and other problems, which restrict the school’s information development and data service goals.
The school has started data construction since 2016. The overall construction objectives are as follows:
- Complete the collection and management of core data in the school, build school level information standards, and gradually realize the accuracy, consistency, and standardization of data.
- Build the full data warehouse of the school, realize data exchange and sharing, make the data resources of the school clearer, more accurate and more flexible, and support the construction of smart campus.
- Realize the visualization of data assets, improve the data quality management ability and service ability of the school, and make the data better serve the teaching, scientific research and management of the school.
The data construction of China Pharmaceutical University is divided into the following three phases:
Phase I: Jul. 2016
Phase I: Jul. 2016
Student Data Analysis Platform: Data Collection, Big Data Platform, Student Portrait
Phase II: Jun. 2018
Student Data Analysis Platform Phase II: Data Governance Service, Master Data Platform, Early Warning Center, Teacher-Student Service
Phase III: Aug. 2019
Data Management and Application Platform: Full Data Governance Service, Full Data Center Construction, Unified Data Open Platform, Data Analysis Tools, Leadership Cockpit, Personal Data Center, Etc.
Phase I: Start the Construction of Data Platform Based on Student Application
Since the project was launched on Sept. 5, 2016, with the joint efforts of the student work office and the information center, the preliminary construction of the data platform, including data collection, big data architecture and data application, has been completed by the end of Dec. 2016.
In the first phase of the project, the application of student services is built based on data to improve the quality of student services and provide more accurate training and intelligent management. Based on the bottom big data management platform, it provides a good and scalable capacity support for the future digital campus construction.
Phase II: Consolidate the Basic Data Foundation and Quickly Respond to Business Needs
At the beginning of 2018, the development of informatization in colleges and universities entered an era with data as the core. With the increasing demand and frequency of data use by various scientific research departments, business departments, information administrators of various departments and third-party developers, the current data exchange method cannot support the real-time sharing of data.
In the second phase, DATAV provided the university with a master data platform, an early warning center and related data governance services to help the University solve the problems encountered in the current data use process.
In the second phase of the project, the centralized management of the core business data of the whole school was realized, and functional modules such as metadata management, information standard management, master data management, data quality management, data operation monitoring management, API registration, API audit, API use application and comprehensive query were built, which effectively solved the problem of data sharing and improved the efficiency of data management.
Phase III: Build a Global Data Center to Promote the Transformation of Smart Campus
In Jul. 2019, China Pharmaceutical University officially launched the construction of the ‘data management and application platform’ project, sorted out the construction results of phase I and phase II, formulated the data demand investigation and research with the academic affairs office, the academic work office, the logistics group, the security office and the book and Information Center as the pilot, and determined the work priorities of data construction: data governance, data opening, data visualization analysis, leadership cockpit, etc.
?Form a Clear Data Flow Diagram and Revitalize Data Assets
Since the construction of the full data management platform, the centralized management of the core business data of the whole university has been gradually realized, and the integrity, consistency, accuracy, and other elements of the data have been comprehensively and steadily improved to ensure that the data can be collected, managed and available. At present, it has completed the data integration of 18 business systems, such as all-in-one card, educational administration, personnel, assets, scientific research, books, face recognition and access control, involving 11 major departments, 158 reference code tables, improved the data standard and specification system, and gradually solved the problems of inaccurate basic data, untimely update, incomplete data, data islands and so on.
Relying on the construction of the bottom layer of data, it has supported the construction of transaction informatization through API interfaces, such as information portals, online service halls, student portraits, etc., gradually improved the governance system of business data, and promoted the sustainable and inheritable construction of data assets.
?Deepen the Effect of Data Application and Improve the Service Quality of Teachers and Students
Based on the underlying data governance system, a data application service upgrade for teachers and students is built, providing rich and diverse data services.
?Set Up a Capability Platform and Have the Capability of Self-Development and Implementation
Based on the underlying data integration tools, data analysis tools, log collection tools and other tool-based capability centers, through the construction of subject analysis atom library, decision model atom library, personal data service form library, it will provide good and scalable capability support for the construction of smart campus in the future.
On May 18, 2020, the Library and Information Center of China Pharmaceutical University organized several experts inside and outside the university to review the ‘Data Management and Application Platform’ (Phase III) project. DATAV reported on the overall structure, project progress, construction effect and other aspects. The expert group agreed, and the project was accepted successfully.