DVB — Data Verification Body
The institutional layer responsible for certifying, verifying, and preserving the epistemic integrity of the data entering the TDR system.
Purpose
The Data Verification Body (DVB) defines the institutional layer responsible for certifying, verifying, and preserving the epistemic integrity of the data entering the TDR system.
The DVB does not generate scientific theory, nor does it perform final governance classification. Its role is to ensure that all evidentiary inputs feeding threshold detection are admissible, reconstructible, and procedurally reliable.
The purpose of this page is to define the functions, responsibilities, and operational logic of the DVB within the c-ECO architecture.
Core Principle
Threshold-sensitive governance is only as reliable as the evidence that feeds it.
For this reason, the c-ECO system establishes a dedicated institutional body responsible for transforming raw observations into certified evidentiary inputs.
The DVB exists to prevent:
Its function is epistemic discipline.
Position in the Architecture
The DVB operates within the Data Governance Layer.
The DVB therefore sits upstream of TDR analytics and downstream of raw data collection.
Functions of the DVB
The DVB performs five principal functions:
Confirms that data originate from authorized and scientifically compatible sources.
Verifies continuity, metadata completeness, temporal consistency, and technical admissibility.
Formally attests that the dataset may enter the TDR analytical pipeline.
Identifies anomalies, gaps, inconsistencies, and procedural deviations requiring escalation.
Creates a traceable chain of responsibility for evidentiary handling.
Data Custodians
The DVB relies on certified Data Custodians.
Data Custodians are responsible for:
Custodians do not interpret system risk. They preserve the integrity of the empirical substrate from which risk is later inferred.
Admissibility Logic
The DVB determines whether a dataset is admissible for prudentially relevant use.
Admissibility depends on cumulative conditions such as:
Datasets that fail these conditions may be flagged, downgraded, or excluded from threshold-sensitive calculations.
QA/QC Procedures
The DVB is responsible for implementing Quality Assurance / Quality Control procedures across the data pipeline.
This includes:
QA/QC is not merely technical hygiene. Within c-ECO it is a prudential function because degraded evidence changes the meaning of downstream signals.
Certification Procedures
Certification is the formal process through which a dataset becomes eligible to feed indicator construction and signal processing.
Certification may include:
Certification creates the transition from raw data to evidentiary input.
Incident Escalation
The DVB must escalate events such as:
Escalation may lead to:
This reflects the prudential asymmetry of uncertainty embedded in c-ECO.
Relationship to Audit & Traceability
The DVB is not identical to the audit function:
Verifies and certifies inputs before they enter the analytical engine
Preserves and reconstructs the full chain after processing
The DVB governs admissibility. Audit governs reconstructibility and review.
Role in the c-ECO Architecture
The DVB is the institutional gatekeeper of the TDR evidence pipeline.
Without it, the framework would risk converting raw, unstable, or strategically manipulated inputs into formal prudential consequences.
With it, the system preserves the link between scientific integrity and governance legitimacy.
Objective
The objective of the Data Verification Body is to ensure that every data stream entering the TDR system is scientifically compatible, procedurally verified, and institutionally certifiable before it influences threshold-sensitive governance.