EM-DAT-05 · Subject model · W1
Metric, target and observation
Definition of the measured quantity, unit, breakdowns, calculation, observation and target value. The formula and the measured result have different versions.
Queued for research
Claude: not-started; Grok: not-started.
Research note, in Russian: Entire research brief pending
Subject boundary and candidate types
- MetricDefinition
- MeasurementMethod
- DimensionDefinition
- Observation
- TargetValue
Deep research questions
- How to ensure comparability of periods and populations?
- How to distinguish null, zero, not-applicable and unknown?
- What changes when a KPI gets a new formula?
Verifiable invariants
- An observation pins the method, the period and the population
- The value is not stored as a single field of the definition
- Units and aggregation are explicit
End-to-end acceptance scenario
One KPI with two methodologies, a gap and a recalculation preserves comparability or explicitly forbids comparison.
Negative case
Headcount from different countries is summed together with FTE without stating the methodology.
Approaches to compare
- W3C DCAT: dataset, distribution, catalog
- W3C PROV and Data Cube: provenance and observation
- SDMX and BI/data catalog practice: indicators, breakdowns, definitions and releases
Candidates in the live catalogue
- WM-XCT-025 · Observable Result Fields · 0.3.0-research.1 · installable
Semantic fit requires boundary research; a published model does not by itself complete this card. - WM-DAT-010 · Time Series / Observation Collection · 0.3.0-research.1 · installable
Semantic fit requires boundary research; a published model does not by itself complete this card.
Result requirements
Every card is executed together with the full research contract: definitions, fields and cardinalities, lifecycle, sources, data mastership, rights, the five object facets, at least eight invariants, positive and negative examples, dependencies, migration and applicability limits.