Framework Overview
Climate Data Governance Framework
CleantechHUB's operating constitution for sovereign climate data in Latin America
Version 1.0 · May 2026 · CC-BY 4.0This framework governs how climate data is collected, validated, consented, stored, and used across CleantechHUB's programmes and partner networks. It applies to all data that flows through CTH's infrastructure — from KoboToolbox field surveys in Colombian coffee regions to CBAM-compliant emissions records for LATAM exporters.
Framework Structure
⚖️ 1 — Constitutional Layer
CTH as Framework Operator. Governance board composition. Voting, dispute resolution and framework evolution.
👤 2 — Roles & Permissions
Six roles: Data Submitter, Accredited Validator, Community Sovereign, CTH Data Steward, Regulator/Auditor, AI Agent.
📋 3 — Decision Rules
15 machine-executable rules across five domains: submission, validation, consent, AI agents, and framework changes.
🔧 4 — Technical Standards Stack
Seven-layer architecture: DID → VC → PROV-O → Ledger → ODRL/OPA → DCAT → Compliance outputs.
🌍 5 — Regulatory Mappings
EUDR (Dec 2026), CSRD ESRS E1/E4, CBAM (Sep 2027), ISSB IFRS S2, Article 6 Paris Agreement.
Design Principles
| Principle | What it means |
|---|---|
| Operator ≠ Owner | CTH operates the infrastructure but does not own or control the data. Analogous to ICANN for DNS. |
| Consent is structural | FPIC checks are enforced at database level — no role, including CTH, can bypass them. |
| Agents are first-class | AI agents have explicit permissions, mandatory audit logging, and must pass a policy check before every write. |
| Rules are executable | All decision rules are encoded as ODRL policies enforced by OPA — not prose guidelines. |
| Compliance is output, not goal | EUDR, CSRD, CBAM compliance reports are generated automatically from the governance ledger — not assembled manually. |
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