Explore foundational principles, policies, and standards that support our institution鈥檚 data governance, quality, literacy, and stewardship efforts.
Principles
Data principles help shape the shared values and expectations of how data is created, managed, shared, and used across the University.
Institutional Perspective
Data is treated as an institutional asset and managed through a service-focused framework.
Uniqueness
All common concepts draw upon an authoritative source of data.
Common Vocabulary
Data elements are defined using a common vocabulary.
Access
To enable them to provide outstanding service, employees can access data that is accurate, timely and appropriate to their roles.
Privacy
A Collection and Notice Strategy1 is required before obtaining, using, or sharing data. Data received is subject to clear rules around security, privacy, consent, and compliance with applicable laws.
Security
All data elements are protected in a manner that is appropriate to their use and commensurate with their sensitivity, whether stored in an enterprise system or a local repository.聽
Transparency
Data is processed in a consistent, lawful, fair and transparent manner.
Quality
Data quality is optimized throughout the data life cycle.
Limitation of Purpose
Data is to be collected, shared and used only for specified and authorized purposes.
1 Personal information provided to 91亚色 is collected under the authority of the 91亚色 Act, 1965. At all times this information will be protected in accordance with the
Policies and Frameworks
Data policies outline how University data should be governed, protected, and used to support effective operations, planning, and reporting.
Data Governance Policy
This policy establishes the governing rules, standards, roles, and responsibilities for the use, management, access, quality, security, privacy, and ethical handling of data at 91亚色 and can be found here.
Data Quality Framework
This framework establishes a consistent, principle-based approach to ensuring high-quality data that supports effective decision-making, institutional planning, and operational excellence at 91亚色. It can be found here.
Standards
Data standards provide clear, practical guidance on how data should be defined, formatted, and managed consistently across the University.
Information Security Classification Standard
This standard establishes the classification categories to be used in accordance with the Information Security Classification Procedures and can be found here.
Data Definitions Standards
These standards guide how data elements are defined and maintained in 91亚色鈥檚 Data Dictionary to support consistent use across the University. The Data Definitions Standards can be found here.