Resources for building spatial data trust.
Practical explanations, frameworks, and guidance for understanding provenance, improving evidence, and preparing spatial data for high-stakes use.
Start with the question your team needs to answer.
These resources connect the educational foundation, audit methodology, product capabilities, and practical use cases.
What Is Spatial Data Provenance?
A practical introduction to origin, custody, change, validation, and authoritative data.
The TRUST Audit Framework
Understand the five dimensions used to evaluate spatial data trust and readiness.
Attashe Capabilities
Explore provenance, spatial version control, quality gates, and audit-ready evidence.
Spatial Data Trust Questions
Use the core trust questions to identify gaps in a priority dataset or workflow.
Where Provenance Matters
See how spatial data trust applies across planning, response, environment, health, and operations.
Choose one priority dataset or workflow.
A short discovery conversation can help determine whether the next step should be education, a focused TRUST Audit, or an Attashe discussion.
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