Data management includes all the policies and practices that insure UDW+ provides the university community with accurate and consistent information while protecting data security and confidentiality. Establishing systematic data management is one of the principal objectives of UDW+. The project includes identifying, formalizing, strengthening and publishing data management policies and practices to build an infrastructure that includes:
University Data Management Policy
Roles and responsibilities for providing data integrity, data and content certification, and metadata.
Data management practices that ensure the integrity of UDW+ data, support the certification of published content, and handle exceptional requests for data access. Data Management practices include:
- Data and content validation as UDW+ is developed
- Ongoing certification of data and standard reports
- Business process validation
- Error management
- Metadata management
- Security and access management
Common definitions and metadata to support the delivery of management information in
UDW+. Metadata are data about the data including data definitions and documentation of reports and dashboards that facilitate their efficient and accurate use. The components of UDW+ metadata will be:
- Common definitions to control inconsistent reporting
- A data dictionary of all UDW+ data elements
- For ad hoc reporting, mouse-over access to the definition of individual data elements
- Documentation of standard reports and dashboards
- Technical metadata documenting the derivation of reporting data from source systems
These resources are currently in development.
