Adhere to four core principles throughout the full data management
lifecycle to ensure data security, compliance, credibility and
traceability, and support high-quality development of university
teaching, research and administration.
Four Core Principles
Data as the University’s Core Strategic Asset
Clear and Traceable Data Roles & Accountabilities
Data Management in Compliance with Internal & External Rules
Integrated Full Data Lifecycle Management
Data as the University’s Core Strategic Asset
Data constitutes a key asset of the university, supporting and driving daily operations and evidence-based decision-making.
Improper handling or misuse of data may expose the university, faculty, students and relevant parties to legal and operational risks.
The processing and use of data must serve the legitimate interests of the university, faculty, students and stakeholders.
Clear and Traceable Data Roles & Accountabilities
Data Stewards: Master details across the full data lifecycle and provide professional management support.
Data Custodians: Deliver technical implementation, operation and governance, and propose and implement management functions.
Data Users and Data Analysts: Use data legally, compliantly and efficiently within authorized scope.
Data Management in Compliance with Internal & External Rules
Data processing and usage must comply with national laws, regulations and institutional rules of the university, with two bottom lines upheld:
Legitimate business needs: The creation, update, retention and access of data must stem from genuine business and analytical requirements, and be used solely for official university business.
Shared accountability: Data governance is a university-wide shared responsibility requiring participation from all members for joint construction and shared benefits.
Integrated Management of Full Data Lifecycle
Across the full data lifecycle, unified planning and end-to-end oversight shall be implemented. Adopt the single source of truth principle to minimise data duplication and ensure authoritative, credible and consistent data standards.
Adopt the single source of truth principle to minimize data duplication and ensure authoritative, credible and consistent data standards.