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Document risks: decisions based on untrustworthy data, trust scores that are outdated, and consumers who bypass trust...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
| Section | Block Type | Purpose |
|---|---|---|
| Trust Model Overview | Rich Text | Describe the trust model: how trust is assessed, the dimensions that contribute... |
| Data Trust Diagram | Diagram | Diagram section |
| Trust Assessment Criteria | Quality Gate | Define the criteria for assessing data trust: provenance completeness, quality... |
| Trust Monitoring | Fitness Function | Define automated checks that continuously monitor data trust: quality trend... |
| Trust Improvement Actions | Governance Checklist | Define actions to improve trust for low-trust data sources: provenance... |
| Data Trust Risks | Risk | Document risks: decisions based on untrustworthy data, trust scores that are... |
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