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Data Provenance and Trust Model Template

Documenting why some data is trusted and other data is not, including provenance tracking and trust scoring

The Data Provenance and Trust Model template provides a structured approach to documenting why some data is trusted and other data is not, including provenance tracking and trust scoring.

Template Sections

This template includes 6 sections.

Trust Model Overview
Describe the trust model: how trust is assessed, the dimensions that contribute to trust (provenance, quality,...
Data Trust Diagram
Diagram section
Trust Assessment Criteria
Define the criteria for assessing data trust: provenance completeness, quality score thresholds, governance compliance,...
Trust Monitoring
Define automated checks that continuously monitor data trust: quality trend analysis, provenance chain completeness,...
Trust Improvement Actions
Define actions to improve trust for low-trust data sources: provenance documentation, quality rule implementation, and...
Data Trust Risks
Document risks: decisions based on untrustworthy data, trust scores that are outdated, and consumers who bypass trust...

Section Details

Block Types Used

Content blocks used in this template
SectionBlock TypePurpose
Trust Model OverviewRich TextDescribe the trust model: how trust is assessed, the dimensions that contribute...
Data Trust DiagramDiagramDiagram section
Trust Assessment CriteriaQuality GateDefine the criteria for assessing data trust: provenance completeness, quality...
Trust MonitoringFitness FunctionDefine automated checks that continuously monitor data trust: quality trend...
Trust Improvement ActionsGovernance ChecklistDefine actions to improve trust for low-trust data sources: provenance...
Data Trust RisksRiskDocument risks: decisions based on untrustworthy data, trust scores that are...

Getting Started