Data Governance at Northern Kentucky University

Data Governance is the discipline of formally managing data as an institutional asset.  This discipline embodies elements of data quality, data management, data policies, business processes, risk management, and personnel ... all crucial in achieving institutional success and excellence.

Data Governance Committee Charge:

Given the university’s desire to be a data-informed institution, NKU must take a more strategic view of its institutional data. The purpose of the Data Governance Committee is to recommend and oversee the implementation and management of a formal data governance program that functions across the enterprise. This will entail an agreed upon common set of policies, standards, methodologies and processes enacted to safeguard that institutional data is managed in such a way that the interests of the university and individuals are addressed in a fair, legal and appropriate manner. It will also necessitate plans to communicate and execute these procedures.  Education of campus constituents will play an important role in success of these efforts

Institutional Excellence

Strategic Plan Goal 5

Strengthen the capacity of the University to fulfill it’s mission and achieve it’s vision by providing technology that supports effectiveness and innovation across campus to "improve administrative systems and data governance".

Documents and Policies

Data Quality

Data quality is the management, process, and measurement of information's fitness to serve its purpose in a given context. Aspects of data quality encompass:

  • Accuracy
  • Completeness
  • Consistency across the university
  • Relevancy
  • Unduplicated
  • Traceability
  • Interpretability
  • Timeliness
  • Accessibility

Data quality is crucial to operational and transactional processes and the reliability of business analytics (BA) and business intelligence (BI) reporting. Data quality is affected by the way data are entered, stored, accessed, and managed.


Click on link below to submit a Data Quality issue or to view all DQ issues:

Data Quality at NKU

Data Quality Issue Resolution Process