TDR Data Sources
Data governance, lineage, and admissibility rules for the c-ECO system. Defining what counts as empirical reality within the Threshold Dynamics Research framework.
Purpose
The TDR Data Sources page defines the categories of data admissible for use within Threshold Dynamics Research.
TDR depends on continuous, reconstructible, and scientifically interpretable evidence. Because resilience diagnostics feed governance mechanisms, not every dataset is equally usable.
The purpose of this page is to specify the classes of evidence that may enter the TDR system and the conditions under which they are considered admissible.
Foundational Principle
Within the c-ECO framework, data are not treated as neutral informational inputs. They are the empirical substrate of threshold detection and, ultimately, of prudential action.
For this reason, admissibility depends on four cumulative conditions:
Dataset must correspond to the actual variable of interest
Must support time-series interpretation
Origin and transformation path must be reconstructible
Confidence envelope must be explicit or inferable
Data that cannot meet these conditions may inform contextual analysis, but cannot directly feed threshold-sensitive calculations.
Primary Classes of Data Sources
Continuous measurements from environmental, industrial, or infrastructure monitoring systems. This is the preferred evidentiary pathway where technically feasible.
Observation systems capable of measuring large-scale or difficult-to-access environmental variables. Especially important where direct field measurement is incomplete.
System-level measurements from critical infrastructure operations. Especially relevant for socio-technical sector implementations.
Signals reflecting stress, volatility, and behavioral amplification within monitored systems. Particularly relevant when threshold dynamics are influenced by market feedbacks.
Model-generated estimates may be used when direct observation is unavailable or incomplete, provided methodological constraints are satisfied. Must remain explicitly documented and uncertainty-bounded.
Administrative or operational records may serve as supplementary evidence when directly linked to monitored variables. Admissible only when they support, rather than replace, certified empirical data.
Hierarchy of Evidence
Where multiple sources exist, the general hierarchy ensures that TDR remains anchored in material system behavior:
Data Governance Mechanisms
Data Ingestion & Lineage
All data entering the TDR pipeline must carry complete lineage metadata: source identification, collection methodology, transformation history, and quality flags.
Data Verification Body (DVB) Interface
The DVB layer provides independent certification of data quality before admittance to threshold-sensitive calculations.
Audit & Traceability
Immutable records ensure procedural integrity and enable historical reconstruction of any threshold determination.
Role in the TDR Architecture
The Data Sources layer stands upstream of all analytical and governance functions:
Data Sources → indicator architecture → signal processing → calibration → prudential translation
It defines what counts as admissible empirical reality within the framework. Without certified data at ingestion, no downstream threshold detection can be considered valid.