Sovereign Climate Data
Ten operational principles defining what it means for climate data to be sovereign, verifiable, AI-legible, and legally defensible in 2026.
Sovereign Climate Data — Overview
Sovereign Climate Data Principles The definitive framework for verifiable, AI-legible, and l...
Technical Quality
Principles 1–5: Verifiability, FAIR standards, provenance, methodology, and temporal persistence.
P01 — Verifiability by Design
SCD-P01 · Principle 1 of 10 Verifiability by Design “If it cannot be checked, it does no...
P02 — FAIR Data Standards
SCD-P02 · Principle 2 of 10 FAIR Data Standards “Findable. Accessible. Interoperable. Re...
P03 — Full Provenance Traceability
SCD-P03 · Principle 3 of 10 Full Provenance Traceability “Without provenance, a number i...
P04 — Methodological Sovereignty
SCD-P04 · Principle 4 of 10 Methodological Sovereignty “You own your data only if you ow...
P05 — Temporal Persistence and Baseline Integrity
SCD-P05 · Principle 5 of 10 Temporal Persistence and Baseline Integrity “A result withou...
Digital Sovereignty
Principles 6–7: AI-legibility and third-party anchoring.
Governance and Social Legitimacy
Principles 8–10: Community consent, regulatory stack alignment, and resilience.
P08 — Community and Indigenous Data Consent
SCD-P08 · Principle 8 of 10 Community and Indigenous Data Consent “CARE complements FAIR...
P09 — Regulatory Stack Alignment
SCD-P09 · Principle 9 of 10 Regulatory Stack Alignment “Build once, report everywhere.” ...
P10 — Resilience, Security and Data Governance
SCD-P10 · Principle 10 of 10 Resilience, Security and Data Governance “Sovereign data th...
API Reference
API Reference — Sovereign Climate Data Wiki All pages in this book are publicly accessible via th...