Data governance principles

Submitted by Kate on Mon, 05/28/2018 - 15:22
 

The following universal data governance principles are from the Data Governance Institute

  1. Integrity: Data Governance participants will practice integrity with their dealings with each other; they will be truthful and forthcoming when discussing drivers, constraints, options, and impacts for data-related decisions.
  2. Transparency: Data Governance and Stewardship processes will exhibit transparency; it should be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes.
  3. Auditability: Data-related decisions, processes, and controls subject to Data Governance will be auditable; they will be accompanied by documentation to support compliance-based and operational auditing requirements.
  4. Accountability: Data Governance will define accountabilities for cross-functional data-related decisions, processes, and controls.
  5. Stewardship: Data Governance will define accountabilities for stewardship activities that are the responsibilities of individual contributors, as well as accountabilities for groups of Data Stewards.
  6. Checks-and-Balances: Data Governance will define accountabilities in a manner that introduces checks-and-balances between business and technology teams as well as between those who create/collect information, those who manage it, those who use it, and those who introduce standards and compliance requirements.
  7. Standardisation: Data Governance will introduce and support standardisation of enterprise data.
  8. Change Management: Data Governance will support proactive and reactive Change Management activities for reference data values and the structure/use of master data and metadata.