Quality Assessment

• CURIE: gmeow:QualityAssessment
• IRI: https://blackcatinformatics.ca/gmeow/QualityAssessment
• Category: class
• Defined by: gmeow:slices/quality
• Box roles: TBox role (What is this?)

A reified assessment of the quality of an entity or dataset, expressed as an observation about one or more quality dimensions. The result is typically a scalar quantity (accuracy in metres, completeness as a percentage, etc.) or a categorical conformance statement, carrying unit, reference frame, determinacy, and provenance in the same bundle as every other GMEOW measurement (Principle 11).

Structure

Subclass of: gmeow:Observation

Practical Pattern

Use gmeow:QualityAssessment as a specialized kind of gmeow:Observation. Add statement metadata or a standpoint when the assertion needs provenance, confidence, or vantage.

Example Snippets

These snippets are generated from canonical slice examples and trimmed to the Turtle blocks where this term appears.

Dataset Completeness

• Source: slices/core/quality/examples/dataset-completeness.ttl
• Examples catalog: open in catalog#example-slices-core-quality-examples-dataset-completeness

# SPDX-FileCopyrightText: 2026 Blackcat Informatics® Inc. <paudley@blackcatinformatics.ca>
# SPDX-License-Identifier: CC-BY-4.0
#
# Worked example: data quality IS a measurement. A gmeow:QualityAssessment
# is a gmeow:Observation subclass, so a completeness assessment carries the SAME
# bundle as any other measurement: gmeow:assessedEntity (the feature, a sub-
# property of observedFeature), a gmeow:qualityDimension naming WHICH quality, a
# gmeow:observationMethod, a gmeow:vantage (who assessed), and an entity-valued
# gmeow:ScalarQuantity result (98.5% with its unit) rather than a bare number.
# Quality is not a special boolean flag — it is an observation like temperature.
@prefix gmeow: <https://blackcatinformatics.ca/gmeow/> .
@prefix ex:    <https://blackcatinformatics.ca/gmeow/examples/quality/> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .

# --- The assessment: which entity, which dimension, by what method, from whom.
ex:assessment a gmeow:QualityAssessment ;
    gmeow:assessedEntity    ex:dataset ;
    gmeow:qualityDimension  gmeow:qualityDimensionCompleteness ;
    gmeow:observationMethod gmeow:methodComputationalModel ;
    gmeow:vantage           ex:auditor ;
    gmeow:observationResult ex:completeness .

Common Companion Terms

gmeow:Observation

External Equivalences

Equivalent or closely aligned targets: dqv, oa

Linkages

Generated from the canonical mapping DSL. SSSOM files are the generated public interchange form for term equivalences.

Term Equivalences

Usage Advice

Use when

• Use to record a quality verdict about an entity or dataset along one or more ISO 19157 dimensions — positional/temporal/thematic accuracy, completeness, consistency, or lineage — as a first-class observation carrying its own result, method, and provenance.

Avoid when

• Avoid for ordinary measurements that are not quality judgements (use a plain gmeow:Observation) and for epistemic certainty about a claim (that is gmeow:confidence, not a quality assessment).

How to use

• Type the assessment as gmeow:QualityAssessment, name the subject with gmeow:assessedEntity, the dimension(s) with gmeow:qualityDimension, and the verdict with gmeow:observationResult; reuse the Observation stack's method, vantage, unit, and frame rather than minting quality-specific copies.

Examples

• ex:posAcc a gmeow:QualityAssessment; gmeow:assessedEntity ex:roadLayer; gmeow:qualityDimension gmeow:qualityDimensionPositionalAccuracy; gmeow:observationResult ex:fiveMetres.