What is data governance?

Data governance is "a framework of processes aimed at defining and managing the quality, consistency, usability, security, preservation, and availability of information with the primary focus on cross-functional, cross-departmental, and/or cross-divisional concerns of information management.”

Master Data Management and Data Governance, Alex Berson and Larry Dubov

 

Guiding Principles

  • Data is owned by the university – it does not belong to any specific unit.
  • Data is a university asset that should be leveraged, managed, and protected, and its governance is a shared institutional responsibility.
  • Data should be corrected at the source system when possible.
  • Data quality enforcement and improvement is ultimately the responsibility of the system owners.
  • Data stewards should determine approaches for remediation and ensure remediation task assignments are completed in a timeline consistent with university priorities.

Five Areas of Data Governance

 PRIORITIZE

  • Aligning data governance priorities with university strategic objectives

 DEFINE & DOCUMENT

  • Identify core data
  • Standardize definitions/terms
  • Document assumptions, source system, logic applied, etc.

 CERTIFY

  • Formal certification process
  • Data Quality Scorecards
  • Remediation

 CHANGE CONTROL

  • Change evaluation process
  • Communication channel & notifications

 SECURITY/ACCESS

  • Data available to appropriate user at appropriate summarization level
  • Obscuring data for small sample sizes
  • Prevention of accidental or intentional data breach

Data Governance at KU