The University has complex and interdependent data flows between its administrative data systems with many teams involved through the lifecycle of those data. The data include:
- finance data
- student data
- staff data
- estates data
- research data
- development and alumni relations data
It is important to know who to involve when data issues are identified and to know what different teams can expect of each other. A consistent model of roles and responsibilities for the quality of the University's administrative data is still in development but the following groups have been established to take collective responsibility for driving good practice:
- Data Executive Group carries out the following activities:
- setting policy, accountability and responsibility for the University’s adminitrativedata
- continually assessing the University's ability to meet external requirements and reducing risk (regulatory and statutory), whilst fully exploiting its data assets for decision-making and providing support for strategic objectives
- Data Governance Group works with the Data Governance Manager and others to develop, implement and maintain an appropriate Data Operating Model. It aims:
- to ensure that the Data Operating Model, and key data governance and quality activities, provide clarity for everyone who is working with their data, as an analyst, report-writer or consumer of that data
- to facilitate greater accuracy, confidence, and efficiency in data reuse, reporting and decision-making
The University's Data Assurance Group continues alongside these with a focus on assuring the University's external data returns.