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Also known as: Data Stewardship Principle
Mandates active, ongoing responsibility for data assets through defined stewardship roles, processes, and controls.
DESCRIPTION
The Stewardship Principle ensures data is actively cared for across its lifecycle. Designated stewards manage definitions, quality rules, metadata, and issue remediation. They bridge business and technical stakeholders to align usage and context. Stewardship underpins trustworthy glossaries, lineage, and access clarity. It complements ownership by operationalizing responsibilities day to day. Effective stewardship reduces defects, accelerates onboarding, and improves compliance.
ALTERNATIVE DEFINITIONS
Wikipedia
Data stewardship is the management and oversight of an organization’s data assets to help provide business users with high-quality data that is easily accessible.
Emphasizes both oversight and accessibility for business users.
Wikipedia
Data governance is the management of data availability, usability, integrity and security in enterprise systems, based on internal data standards and policies.
Positions stewardship within the broader governance function.
RELATED TERMS
Data Steward Governance Data Quality Metadata Management Data Policy Data Glossary Issue Management Catalog Lineage Responsible Accountable Consulted Informed
COMPETING TERMS
KNOWLEDGE AREAS
Data Governance Data Management Metadata Management
TARGET AUDIENCE
Data Steward Data Governance Manager Chief Data Officer Data Architect Information Analyst
EXTERNAL SOURCES
- Wikipedia - Data stewardship
- European Data Portal - Training on governance and stewardship
- NIH - Government guidance on data stewardship
TOP QUESTIONS
What is the Stewardship Principle?
It requires designated roles to actively manage data definitions, quality, and metadata throughout the lifecycle.
Category: Definition
Why is the Stewardship Principle important?
It operationalizes governance, ensuring data remains understandable, high quality, and compliant.
Category: Relevancy
How is the Stewardship Principle implemented?
Appoint stewards, define responsibilities, establish workflows for issues, and maintain glossaries and lineage.
Category: HowTo
What is a common mistake with stewardship?
Assigning the title without time, authority, or tools leads to ineffective stewardship.
Category: Mistakes
How does stewardship relate to ownership?
Ownership defines accountability; stewardship executes day-to-day data care and controls.
Category: Relation
Which tools support stewardship?
Data catalogs, lineage tools, quality platforms, and workflow systems support steward activities.
Category: Tooling
What outcomes signal successful stewardship?
Reduced data issues, faster onboarding, and improved metric consistency signal success.
Category: Measurement
Who should be a data steward?
Subject-matter experts with authority, communication skills, and time to manage data assets.
Category: Roles
How often should stewardship reviews occur?
Regularly—often monthly or quarterly—aligned to release cycles and risk levels.
Category: Process