Data governance framework

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The Data Governance Framework will enable more efficient and effective gathering, analysis and reporting of high-value shared administrative data. In the longer term it may be possible to apply the Framework to other data types.

The Data Governance Framework establishes policies, procedures, roles and tools that will enable data to be sourced and re-used with confidence. It therefore underpins other 'data' projects, and will assist future IT projects by providing the structures to support more effective data management and integration. It will make it easier for anyone who processes administrative data to ensure that:  

•    they're getting their data from the best source for their purpose
•    the data they create and use is of the best quality
•    they're using the right definitions - the same ones that their colleagues and outside bodies use
•    they know who to go to with questions about data

In Phase 1, the project developed policies and procedures for the Data Governance Framework, including:
•    Data Stewards
•    Data Definitions
•    Data Standards
•    Data Source 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
•    Creating and validating data definitions
•    Developing data standards, which establish criteria specific data must meet in order to be reused accurately and efficiently, 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 available to all staff via the Evolve web interface.  More information is available on request from the 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 project 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 due to finish in July 2020. We have recently secured further funding to continue data governance beyond this date completing implementation in the highest priority areas and beginning to embed data governance throughout the organisation. The Covid-19 pandemic is affecting our stakeholders’ availability, and therefore our timetable, but we are continuing to make progress. For the latest information on the schedule for specific data areas and opportunities 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

Contact & further information