This project's objectives are to clarify the scope and limitations of key administrative data so that it can be reused with confidence, and to establish ongoing support for people to identify efficiently the right data sources for their needs.
This is necessary for compiling statutory data returns, for operational reporting and analytics, and for the design and delivery of business systems and the data integrations between them.
Data governance is an enabler for other data-related initiatives including Building Trust in our Data and University data warehouse projects.
By establishing consistent and clear data definitions, standards and stewardship arrangements the Framework will support the University's data and information compliance, security and quality objectives.
In Phase 1 the project developed policies and procedures for the Data Governance Framework, including:
- Data Stewards
- Data Definitions
- Data Standards
- Data Sources Assessments
More specifically we:
- Developed the data stewards' responsibilities and started to identify those people across the University who could take on the data stewardship roles
- Developed the process for defining key data at the University, and began to create and validate data definitions
- Began to develop the data source assessment methodology
We are now in Phase 2, during which we are focussing on:
- Implementing the Framework against high-priority administrative data sets (for example student records, course, identity, organisation structure and staff records)
- Continuing to identify potential data stewards, and briefing them on what the role will involve
- Creating and validating the data definitions
- Developing data standards, which outline what data needs to look like to be reused. This includes establishing data quality standards and creating standard reference data sets
- Identifying and validating data sources
- Refining the processes needed to establish and maintain all of the above elements
As with all IT projects, this one has a formal Project Board which is responsible for ensuring that the project is delivered to brief, on time and on budget. The processes listed above are being directed and validated by the Interim Data Governance Group (IDGG) which comprises senior data practitioners from across the University. It is the IDDG that is also responsible for identifying the priority administrative data sets. Agreed definitions, sources and stewards will be recorded in the Casewise database and made accessible via the Evolve Web user interface that is currently in development. In the meantime, information is available on request from the project team.
Since the project began we have been building a list of colleagues from across the collegiate University who have been contributing to the Framework's development by reviewing data definitions and participating in workshops, as well as a large group of people who have asked to be kept up to date with our progress. If you would like to join either of these groups, please contact us.
Phase 2 started in August 2018, and the project is currently due to finish in July 2020. The Covid-19 pandemic will affect our timetable, however. For the latest information on the schedule for work on specific data areas and opportunities for you to contribute, please contact the project team.
- Reduced effort required to specify the data sets needed for business systems, their integrations and reports, and easier identification of the right source for that data
- Greater confidence that administrative data is being reused accurately, and increased data-management capability
- Increased understanding of who does what to look after what data