Data Governance

Data governance (DG) is the exercise and enforcement of policies, processes, guidelines, rules, standards, controls, roles, responsibilities and accountabilities to manage data as a strategic asset. It involves a formalised set of policies, standards, and processes aligned with the Data Strategy, focusing on improving data quality, ensuring security, and fostering compliance. DG governs the availability, usability, integrity, and security of data, breaking down silos and enforcing appropriate access controls.   The University is implementing this through the creation of its Data Governance Framework and delivery of its Data Strategy via the Data Strategy Implementation Programme (DSIP).

Infographic explaining that Data Governance is ensuring the right data reaches the right people at the right time and in the right format

 

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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 administrative data
  • development and alumni relations data

See the  Report and Data Library for guidance on how to access these data and the reports associated with them.

 

It is important to know who to involve when data issues are identified and to know what different teams can expect of each other. 

 

Inforgraphic presenting hierarchical framework for managing data effectively within the University. It is represented as a pyramid with different levels of responsibility

 

A consistent model of roles and responsibilities for the quality of the University's administrative data is still maturing. The following groups have been established to take collective responsibility for driving good practice (as illustrated in the image above):

  1. Data Executive Group  provides high level strategic direction and decision-making through:
    • setting policy, accountability and responsibility for the University’s administrative data
    • 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
  2. Data Governance Group  oversees governance policies and ensures compliance through:
    • ensuring 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
    • facilitating greater accuracy, confidence, and efficiency in data reuse, reporting and decision-making
  3. Data subject matter experts create, use, store, define, manage or delete data in their work. They are responsible for:  
    • communicating Data Governance progress and challenges to Data Governance Team 
    • ensuring data integrity, security, and compliance with organisational policies and regulatory requirements  
    • implementing best practices, maintaining data quality, resolving data quality issues, and ensuring accurate and timely reporting
    • facilitating collaboration between business and technical teams to enable effective data-driven decision-making 
  4. The Data Governance team carries out the following activities:

    • establishing and enforcing policies, standards and frameworks to ensure data integrity, security and compliance across the organisation
    • providing oversight, guidance, and collaboration with stakeholders to enhance data quality
    • enabling effective data management and supporting strategic decision-making 

This is supported by the  Data Strategy Implementation Programme (DSIP).

 

In addition, the University's Data Assurance Group  continues alongside these with a focus on assuring the University's external data returns.

Business Glossary

 

A business glossary is a centralised collection of standardised terms and their definitions used within the University. The terms are described in a clear language that everyone within the University can understand. 

It ensures consistency by providing clear and standardised definitions of terms across the organisation. This reduces confusion and minimises discrepancies in data interpretation, particularly when different departments or systems utilise varying definitions. ​Additionally, a glossary enhances data discovery, enabling users to easily locate and comprehend the data they need. It also promotes consistency in business reporting and performance metrics, ensuring that everyone is aligned on key terms and measurements.​ 

Note: 

The Business Glossary is not static and for any updates, additions to the current list please contact Data Governance Manager

 

The Business Glossary Guide is a resource designed to assist users in developing and maintaining a clear, consistent, and well-structured glossary of business terms. This guide provides best practices for defining terms, ensuring uniformity in language across divisions and functions.  

Data Governance Working Groups 

The working groups sit within the Data Governance Group and are set up to allow for more detailed conversations around specific areas:  

  • Data Community of Practice 
  • Business Glossary / Data Dictionary 
  • Data Issue Resolution 
  • Use of Tableau 
  • Data and Report Sharing 

Data Governance Self-Assessment 

The Data Governance Self-Assessment is a tool that enables the University to evaluate and enhance their data management practices and align their data governance efforts with the objectives set forth in their Data Strategy Implementation Programme. The tool features a point-based questionnaire where stakeholders select statements that best reflect their current data state. It focuses on critical themes such as data quality, security, and governance, offering valuable insights that help prioritize improvements. This straightforward process generates a report, providing the University with the ability to assess their data management maturity and identify areas for improvement.