DGCP Principle #28 — Integrity Must Be Verifiable
Date: 2026-04-23 (Asia/Bangkok)
Mode: Observation only • Principle definition • No prediction • No advice
Scope Note: Structural definition of integrity as a verifiable condition within DGCP systems through validation, time anchoring, and chain linkage
System Context
Integrity within data systems is often represented as a declared or assumed condition.
In such cases, verification depends on external authority or indirect validation.
DGCP systems define integrity through mechanisms that allow independent verification of data correctness.
Core Structure
- Integrity Layer: Condition of data correctness within the system
- Validation Layer: Mechanism for verifying content through hash functions
- Time Anchoring Layer: Timestamp verification through external anchoring systems
- Chain Layer: Sequential linkage across records ensuring continuity
- Evidence Layer: Direct connection between records and original data sources
Key Dynamics
- Independent Verification: Ability to validate data without reliance on originator
- Hash Consistency: Matching of computed hash values across records
- Temporal Validation: Confirmation of record existence at a defined time
- Chain Traversal: Ability to follow record linkage across sequences
Constraints / Risk Factors
- Absence of verifiable hash or validation mechanism
- Missing or unanchored timestamp records
- Broken chain linkage across sequences
- Disconnection between record and original evidence
DGCP Observation
Integrity is observable when data correctness can be verified through hash validation, time anchoring, and continuous chain linkage.
System integrity is maintained through the presence of verifiable mechanisms across all record layers.
Author
P’Toh
System Architect — DGCP™
License
DGCP | MMFARM-POL-2025
This work is licensed under the DGCP (Data Governance & Continuous Proof) framework.
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