Data governance framework
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
During Phase 2, we focussed 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
With help from colleagues across the University we have achieved the project's aim of applying data governance to a significant proportion of the University's most valuable shared data. We have also enlisted data contacts and data stewards who will be instrumental in governing the University's data.
The current project has been extended for two months, and will officially close at the end of September 2020. After September, there will be a 10-month transition (to July 2021) during which time the project team, including members of the DRAM (Data Reporting, Architecture and Modelling) team, will continue to work on rolling out and embedding data governance across the University. This work will include integrating data governance further with reporting, warehousing and enterprise information modelling. Data contacts and stewards will be provided with support and training to enable them to fulfill their roles, and work will continue on data sourcing and data standards.
The post-project work to integrate data governance into the University's day-to-day operations will be driven by the (Interim) Data Governance Group - which will in time become the Data Governance Group - comprising senior practitioners from across the University.
The Casewise database, which includes agreed definitions, sources and contacts/stewards, is available to all staff. You can find out more, and access the database, via the Casewise/Evolve SharePoint site. For permission to access the database itself, make a service request; search for Casewise.
Since the Data Governance Framework project began we have been building a list of colleagues from across the collegiate University who have been contributing to the development of data governance in their business area, 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.
The project officially closes at the end of September 2020, after which there will be a transition phase to July 2021 (see the 'What we are doing' tab above). 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