data-quality-framework
type: Ontology
license: CC BY-NC 4.0
title: CE-RISE Data Quality Framework Data Model
version: 0.0.3
definition: Cross-cutting utility data model for documenting data quality assessments, pedigree scores, diagnostics, remediation actions, provenance, and data-quality-derived uncertainty metadata for CE-RISE Digital Product Passport and Digital Material Passport data models.

DataQualityFramework
type: Class
subclass of: Restriction
  all values from: QualityDiagnostic
  on property: quality_diagnostics
subclass of: Restriction
  all values from: DataQualityProfile
  on property: data_quality_profiles
subclass of: Restriction
  min cardinality: 0
  on property: quality_aggregations
subclass of: Restriction
  min cardinality: 0
  on property: quality_metrics
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_profiles
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_assessments
subclass of: Restriction
  all values from: QualityCriterionAssessment
  on property: criterion_assessments
subclass of: Restriction
  all values from: QualityAggregation
  on property: quality_aggregations
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_references
subclass of: Restriction
  all values from: DataQualityEvidenceReference
  on property: data_quality_evidence_references
subclass of: Restriction
  all values from: RemediationAction
  on property: remediation_actions
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_translations
subclass of: Restriction
  min cardinality: 0
  on property: quality_issues
subclass of: Restriction
  min cardinality: 0
  on property: remediation_actions
subclass of: Restriction
  all values from: DataQualityAssessment
  on property: data_quality_assessments
subclass of: Restriction
  all values from: QualityMetric
  on property: quality_metrics
subclass of: Restriction
  all values from: QualityIssue
  on property: quality_issues
subclass of: Restriction
  all values from: DataCharacterization
  on property: data_characterizations
subclass of: Restriction
  min cardinality: 0
  on property: data_characterizations
subclass of: Restriction
  min cardinality: 0
  on property: quality_diagnostics
subclass of: Restriction
  min cardinality: 0
  on property: criterion_assessments
subclass of: Restriction
  all values from: UncertaintyTranslation
  on property: uncertainty_translations
definition: Root container for data quality assessments and supporting records
in scheme: data-quality-framework
sql identifier: dqf_root

component
type: Class
subclass of: AggregationLevelEnum
definition: Component, subsystem, product part, or process group

dataset
type: Class
subclass of: AggregationLevelEnum
definition: Dataset or data source

indicator
type: Class
subclass of: AggregationLevelEnum
definition: Derived indicator, score, or model output

input_quantity
type: Class
subclass of: AggregationLevelEnum
definition: Input quantity or parameter

material
type: Class
subclass of: AggregationLevelEnum
definition: Material-level aggregation

model
type: Class
subclass of: AggregationLevelEnum
definition: Model, calculation workflow, or assessment

other
type: Class
subclass of: AggregationLevelEnum
definition: Other aggregation level

portfolio
type: Class
subclass of: AggregationLevelEnum
definition: Portfolio, batch, or group-level aggregation

product
type: Class
subclass of: AggregationLevelEnum
definition: Product-level aggregation

record
type: Class
subclass of: AggregationLevelEnum
definition: Record, object, or passport entry

value
type: Class
subclass of: AggregationLevelEnum
definition: Single value or field

arithmetic_mean
type: Class
subclass of: AggregationMethodEnum
definition: Arithmetic mean

custom
type: Class
subclass of: AggregationMethodEnum
definition: Custom aggregation method

expert_judgement
type: Class
subclass of: AggregationMethodEnum
definition: Expert judgement aggregation

geometric_mean
type: Class
subclass of: AggregationMethodEnum
definition: Geometric mean

hierarchical
type: Class
subclass of: AggregationMethodEnum
definition: Hierarchical aggregation from inputs to profiles to overall indicators

maximum_risk
type: Class
subclass of: AggregationMethodEnum
definition: Maximum risk or most severe issue determines the aggregate

not_evaluated
type: Class
subclass of: AggregationMethodEnum
definition: Aggregation method has not been evaluated

rule_based
type: Class
subclass of: AggregationMethodEnum
definition: Rule-based aggregation, such as green/orange/red decision rules

weighted_mean
type: Class
subclass of: AggregationMethodEnum
definition: Weighted arithmetic mean

worst_score
type: Class
subclass of: AggregationMethodEnum
definition: Overall score is determined by the worst criterion or limiting factor

active
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment is currently active

draft
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment is being prepared

expired
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment is no longer valid

partial
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment is partially documented or partially verified

reviewed
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment has been reviewed

superseded
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment has been superseded

unavailable
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment status is unavailable

verified
type: Class
subclass of: AssessmentStatusEnum
definition: Assessment has been verified against supporting evidence

high
type: Class
subclass of: ConfidenceLevelEnum
definition: High confidence

low
type: Class
subclass of: ConfidenceLevelEnum
definition: Low confidence

medium
type: Class
subclass of: ConfidenceLevelEnum
definition: Medium confidence

not_evaluated
type: Class
subclass of: ConfidenceLevelEnum
definition: Confidence has not been evaluated

very_low
type: Class
subclass of: ConfidenceLevelEnum
definition: Very low confidence

DataQualityAssessment
type: Class
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_applies_to_class_value
subclass of: Restriction
  all values from: AssessmentStatusEnum
  on property: data_quality_assessment_status_value
subclass of: Restriction
  all values from: string
  on property: assessment_purpose_value
subclass of: Restriction
  min cardinality: 0
  on property: intended_use_value
subclass of: Restriction
  max cardinality: 1
  on property: intended_use_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_applies_to_value_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_applies_to_model_value
subclass of: Restriction
  all values from: dateTime
  on property: data_quality_assessment_date_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_applies_to_record_value
subclass of: Restriction
  min cardinality: 0
  on property: assessor_value
subclass of: Restriction
  min cardinality: 0
  on property: data_characterization
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_assessment_date_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_assessment_date_value
subclass of: Restriction
  min cardinality: 0
  on property: fitness_for_purpose_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_standards_applied_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_applies_to_slot_value
subclass of: Restriction
  all values from: DataCharacterization
  on property: data_characterization
subclass of: Restriction
  all values from: FitnessForPurposeEnum
  on property: fitness_for_purpose_value
subclass of: Restriction
  all values from: string
  on property: data_quality_applies_to_class_value
subclass of: Restriction
  all values from: string
  on property: data_quality_traceability_reference_value
subclass of: Restriction
  all values from: string
  on property: data_quality_assessment_identifier_value
subclass of: Restriction
  all values from: string
  on property: intended_use_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_applies_to_value_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_standards_applied_value
subclass of: Restriction
  all values from: DataQualityAssessmentTypeEnum
  on property: data_quality_assessment_type_value
subclass of: Restriction
  min cardinality: 0
  on property: assessment_purpose_value
subclass of: Restriction
  all values from: string
  on property: data_quality_standards_applied_value
subclass of: Restriction
  all values from: QualityDiagnostic
  on property: quality_diagnostics
subclass of: Restriction
  all values from: string
  on property: data_quality_applies_to_value_path_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_assessment_label_value
subclass of: Restriction
  all values from: string
  on property: data_quality_applies_to_value_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_applies_to_record_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_assessment_status_value
subclass of: Restriction
  all values from: QualityIssue
  on property: quality_issues
subclass of: Restriction
  max cardinality: 1
  on property: fitness_for_purpose_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_profile
subclass of: Restriction
  max cardinality: 1
  on property: assessment_notes_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_traceability_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_actions
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_traceability_reference_value
subclass of: Restriction
  all values from: string
  on property: data_quality_applies_to_record_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_applies_to_value_path_value
subclass of: Restriction
  all values from: string
  on property: data_quality_applies_to_slot_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_assessment_type_value
subclass of: Restriction
  min cardinality: 0
  on property: assessment_notes_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_assessment_label_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_applies_to_class_value
subclass of: Restriction
  max cardinality: 1
  on property: data_characterization
subclass of: Restriction
  all values from: string
  on property: data_quality_assessment_label_value
subclass of: Restriction
  all values from: string
  on property: assessor_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_assessment_type_value
subclass of: Restriction
  max cardinality: 1
  on property: assessment_purpose_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_assessment_status_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_profile
subclass of: Restriction
  all values from: RemediationAction
  on property: remediation_actions
subclass of: Restriction
  min cardinality: 0
  on property: quality_issues
subclass of: Restriction
  min cardinality: 0
  on property: quality_diagnostics
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  all values from: string
  on property: assessment_notes_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_assessment_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_assessment_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_applies_to_slot_value
subclass of: Restriction
  all values from: string
  on property: data_quality_applies_to_model_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_applies_to_model_value
definition: Reusable assessment describing the quality, fitness for purpose, diagnostics, and improvement needs of data used by CE-RISE models
in scheme: data-quality-framework
note: Designed as the main integration point for other CE-RISE data models.
note: Other models may either embed this class or point to it through data_quality_assessment_identifier_value.
references: CE-RISE D2.4; W3C Data Quality Vocabulary; PROV-O; NUSAP; IPCC data quality guidance; ISO 14044; ISO 8000; ISO 9001
sql identifier: dqf_assessment

composite_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment aggregating multiple lower-level assessments

dataset_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of a dataset or data source

evidence_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of evidence quality

indicator_input_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of an input used to compute an indicator

indicator_output_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of a derived indicator, score, or model output

not_evaluated
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Data quality has not been evaluated

other
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Other data quality assessment type

process_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of a data generation, collection, or processing process

record_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of a record, object, or passport entry

value_assessment
type: Class
subclass of: DataQualityAssessmentTypeEnum
definition: Assessment of a specific value or field

DataQualityEvidenceReference
type: Class
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_description_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_url_value
subclass of: Restriction
  all values from: date
  on property: data_quality_evidence_date_value
subclass of: Restriction
  all values from: anyURI
  on property: data_quality_evidence_url_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_version_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_url_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_type_value
subclass of: Restriction
  all values from: DataQualityEvidenceTypeEnum
  on property: data_quality_evidence_type_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_date_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_type_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_description_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_date_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_provider_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_version_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_provider_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_description_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_version_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_provider_value
definition: Supporting evidence record for a data quality assessment, score, diagnostic, issue, remediation action, uncertainty translation, or aggregation
in scheme: data-quality-framework
sql identifier: dqf_evidence_reference

calibration_certificate
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Calibration certificate or measurement-system evidence

data_profile
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Data profiling output

dataset_snapshot
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Dataset snapshot, extract, or versioned source

diagnostic_report
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Diagnostic report or quality check output

harmonization_log
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Harmonization, mapping, coding, or unit conversion log

metadata_record
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Metadata record, data dictionary, or schema documentation

other
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Other evidence type

provenance_record
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Provenance or lineage record

remediation_record
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Remediation, mitigation, or improvement record

standard_or_protocol
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Standard, protocol, guide, or procedure document

supplier_declaration
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Supplier declaration or third-party declaration

traceability_record
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Metrological traceability record

validation_report
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Validation, verification, or qualification report

workflow_record
type: Class
subclass of: DataQualityEvidenceTypeEnum
definition: Notebook, workflow, script, configuration, or reproducibility record

administrative_record
type: Class
subclass of: DataSourceTypeEnum
definition: Administrative, operational, or management system record

calculation_or_model
type: Class
subclass of: DataSourceTypeEnum
definition: Calculation, simulation, or model output

database
type: Class
subclass of: DataSourceTypeEnum
definition: Database, inventory, registry, or factor set

direct_measurement
type: Class
subclass of: DataSourceTypeEnum
definition: Direct measurement or observation

expert_judgement
type: Class
subclass of: DataSourceTypeEnum
definition: Expert judgement or elicitation

laboratory_test
type: Class
subclass of: DataSourceTypeEnum
definition: Laboratory test or analytical result

literature
type: Class
subclass of: DataSourceTypeEnum
definition: Literature, report, publication, or secondary source

mixed
type: Class
subclass of: DataSourceTypeEnum
definition: Mixed source types

other
type: Class
subclass of: DataSourceTypeEnum
definition: Other source type

sensor_or_iot
type: Class
subclass of: DataSourceTypeEnum
definition: Sensor, IoT, telemetry, or monitoring source

supplier_declaration
type: Class
subclass of: DataSourceTypeEnum
definition: Supplier declaration or provided data

survey_or_interview
type: Class
subclass of: DataSourceTypeEnum
definition: Survey, interview, focus group, or qualitative source

boolean
type: Class
subclass of: DataTypeEnum
definition: Boolean or binary data

categorical
type: Class
subclass of: DataTypeEnum
definition: Categorical data

geospatial
type: Class
subclass of: DataTypeEnum
definition: Geospatial data

mixed
type: Class
subclass of: DataTypeEnum
definition: Mixed data types

modelled
type: Class
subclass of: DataTypeEnum
definition: Modelled, calculated, or simulated data

other
type: Class
subclass of: DataTypeEnum
definition: Other data type

qualitative
type: Class
subclass of: DataTypeEnum
definition: Qualitative observations, narratives, claims, or interpretations

quantitative
type: Class
subclass of: DataTypeEnum
definition: Quantitative numerical data

semi_quantitative
type: Class
subclass of: DataTypeEnum
definition: Semi-quantitative scores, categories, scales, or ratings

time_series
type: Class
subclass of: DataTypeEnum
definition: Time-series data

comprehensive_profiling
type: Class
subclass of: DiagnosticTypeEnum
definition: Comprehensive profiling of records, fields, distributions, and metadata

distributional_alignment
type: Class
subclass of: DiagnosticTypeEnum
definition: Distributional alignment, benchmark comparison, or drift detection

impact_sensitivity
type: Class
subclass of: DiagnosticTypeEnum
definition: Impact quantification or sensitivity analysis

missing_data_analysis
type: Class
subclass of: DiagnosticTypeEnum
definition: Missing-data characterization and mechanism analysis

other
type: Class
subclass of: DiagnosticTypeEnum
definition: Other diagnostic type

provenance_correlation
type: Class
subclass of: DiagnosticTypeEnum
definition: Provenance correlation and causal inference

relational_integrity_validation
type: Class
subclass of: DiagnosticTypeEnum
definition: Foreign key, hierarchy, component sum, and relational consistency validation

reproducibility_check
type: Class
subclass of: DiagnosticTypeEnum
definition: Implementation reproducibility or workflow rerun check

scoring_rule_check
type: Class
subclass of: DiagnosticTypeEnum
definition: Scoring model and decision rule check

semantic_unit_consistency
type: Class
subclass of: DiagnosticTypeEnum
definition: Semantic, unit, coding, or label consistency verification

structural_integrity_validation
type: Class
subclass of: DiagnosticTypeEnum
definition: Schema, key, type, and structural integrity validation

temporal_spatial_alignment
type: Class
subclass of: DiagnosticTypeEnum
definition: Temporal or spatial alignment verification

exploratory_only
type: Class
subclass of: FitnessForPurposeEnum
definition: Data are suitable for exploratory or preliminary use only

fit
type: Class
subclass of: FitnessForPurposeEnum
definition: Data are fit for the stated purpose

fit_with_conditions
type: Class
subclass of: FitnessForPurposeEnum
definition: Data are fit only under stated conditions, limitations, or treatments

insufficient_information
type: Class
subclass of: FitnessForPurposeEnum
definition: There is insufficient information to judge fitness

not_evaluated
type: Class
subclass of: FitnessForPurposeEnum
definition: Fitness for purpose has not been evaluated

not_fit
type: Class
subclass of: FitnessForPurposeEnum
definition: Data are not fit for the stated purpose

accepted_risk
type: Class
subclass of: IssueStatusEnum
definition: Issue remains but has been accepted with documented risk

closed
type: Class
subclass of: IssueStatusEnum
definition: Issue is closed

mitigated
type: Class
subclass of: IssueStatusEnum
definition: Issue has been mitigated but not fully resolved

open
type: Class
subclass of: IssueStatusEnum
definition: Issue is open

remediated
type: Class
subclass of: IssueStatusEnum
definition: Issue has been remediated

superseded
type: Class
subclass of: IssueStatusEnum
definition: Issue has been superseded

under_review
type: Class
subclass of: IssueStatusEnum
definition: Issue is under review

high
type: Class
subclass of: PriorityEnum
definition: High priority

low
type: Class
subclass of: PriorityEnum
definition: Low priority

medium
type: Class
subclass of: PriorityEnum
definition: Medium priority

not_assigned
type: Class
subclass of: PriorityEnum
definition: Priority has not been assigned

urgent
type: Class
subclass of: PriorityEnum
definition: Urgent priority

QualityAggregation
type: Class
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_weights_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_method_value
subclass of: Restriction
  all values from: string
  on property: aggregation_input_references_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: string
  on property: aggregation_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_level_value
subclass of: Restriction
  all values from: string
  on property: aggregation_rationale_value
subclass of: Restriction
  all values from: string
  on property: aggregation_weights_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_rationale_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_level_value
subclass of: Restriction
  all values from: string
  on property: aggregation_output_reference_value
subclass of: Restriction
  all values from: AggregationLevelEnum
  on property: aggregation_level_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_method_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_rationale_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_weights_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_input_references_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_output_reference_value
subclass of: Restriction
  all values from: AggregationMethodEnum
  on property: aggregation_method_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_output_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_input_references_value
definition: Aggregation of assessments, profiles, criterion scores, metrics, or uncertainty translations across values, records, datasets, or indicators
in scheme: data-quality-framework
references: CE-RISE D2.4; W3C Data Quality Vocabulary
sql identifier: dqf_aggregation_record

accuracy
type: Class
subclass of: QualityCriterionEnum
definition: Closeness to true values, intended meanings, or accepted references

completeness
type: Class
subclass of: QualityCriterionEnum
definition: Extent to which required data, metadata, coverage, or contextual factors are present

consistency
type: Class
subclass of: QualityCriterionEnum
definition: Internal coherence and stability across sources, contexts, units, definitions, coders, or time

other
type: Class
subclass of: QualityCriterionEnum
definition: Other quality criterion

precision
type: Class
subclass of: QualityCriterionEnum
definition: Repeatability, variability, or dispersion of repeated observations

provenance
type: Class
subclass of: QualityCriterionEnum
definition: Quality and auditability of origin, custody, and processing history

representativeness
type: Class
subclass of: QualityCriterionEnum
definition: Degree to which data represent the target population, technology, geography, or time period

reproducibility
type: Class
subclass of: QualityCriterionEnum
definition: Degree to which the result can be reproduced from documented data and workflows

timeliness
type: Class
subclass of: QualityCriterionEnum
definition: Temporal relevance, currency, update cadence, and version suitability

transparency
type: Class
subclass of: QualityCriterionEnum
definition: Degree to which methods, assumptions, provenance, and transformations are visible

validity
type: Class
subclass of: QualityCriterionEnum
definition: Appropriateness of the data for the intended purpose or construct

green_proceed
type: Class
subclass of: QualityFlagEnum
definition: Proceed; criteria are acceptable for the intended purpose

grey_not_evaluated
type: Class
subclass of: QualityFlagEnum
definition: No decision flag because quality has not been evaluated

orange_review
type: Class
subclass of: QualityFlagEnum
definition: Review; one or more criteria require scrutiny, treatment, or caveats

red_reject
type: Class
subclass of: QualityFlagEnum
definition: Reject or pause; severe issue makes the data unsuitable without remediation

bias
type: Class
subclass of: QualityIssueTypeEnum
definition: Known or suspected systematic bias

boundary_mismatch
type: Class
subclass of: QualityIssueTypeEnum
definition: System boundary, scope, scenario, or model mismatch

calibration_gap
type: Class
subclass of: QualityIssueTypeEnum
definition: Missing, expired, or inadequate calibration or traceability evidence

coding_mismatch
type: Class
subclass of: QualityIssueTypeEnum
definition: Coding, category, definition, or harmonization mismatch

duplicate_or_conflict
type: Class
subclass of: QualityIssueTypeEnum
definition: Duplicate, contradiction, unresolved conflict, or inconsistent record

invalid_value
type: Class
subclass of: QualityIssueTypeEnum
definition: Invalid value, failed range check, or failed rule

method_mismatch
type: Class
subclass of: QualityIssueTypeEnum
definition: Method mismatch or insufficient procedural fidelity

missingness
type: Class
subclass of: QualityIssueTypeEnum
definition: Missing values, missing metadata, or incomplete coverage

non_representativeness
type: Class
subclass of: QualityIssueTypeEnum
definition: Sampling, source, geographic, temporal, technological, or population representativeness issue

other
type: Class
subclass of: QualityIssueTypeEnum
definition: Other quality issue type

outlier_or_anomaly
type: Class
subclass of: QualityIssueTypeEnum
definition: Outlier, anomaly, discontinuity, or drift finding

provenance_gap
type: Class
subclass of: QualityIssueTypeEnum
definition: Missing, incomplete, or unverifiable provenance

schema_drift
type: Class
subclass of: QualityIssueTypeEnum
definition: Schema drift, unexpected structure, or incompatible data contract

timeliness_deficit
type: Class
subclass of: QualityIssueTypeEnum
definition: Outdated, stale, provisional, or insufficiently versioned data

unit_mismatch
type: Class
subclass of: QualityIssueTypeEnum
definition: Unit mismatch, conversion issue, or scale inconsistency

not_applicable
type: Class
subclass of: QualityScoreEnum
definition: Score is not applicable

not_evaluated
type: Class
subclass of: QualityScoreEnum
definition: Score has not been evaluated

score_1_very_reliable
type: Class
subclass of: QualityScoreEnum
definition: Score 1: very reliable; data meet the highest standards with minimal limitations

score_2_reliable
type: Class
subclass of: QualityScoreEnum
definition: Score 2: reliable; data have minor limitations but remain fit for most purposes

score_3_unreliable
type: Class
subclass of: QualityScoreEnum
definition: Score 3: unreliable; substantial limitations require caution and remediation

score_4_dubious
type: Class
subclass of: QualityScoreEnum
definition: Score 4: dubious; severe flaws make data unsuitable for formal decisions without remediation

data_contract_enforcement
type: Class
subclass of: RemediationActionTypeEnum
definition: Enforce schema, unit, encoding, or semantic data contracts

governance_agreement
type: Class
subclass of: RemediationActionTypeEnum
definition: Create or update governance, access, data sharing, or reporting agreement

imputation
type: Class
subclass of: RemediationActionTypeEnum
definition: Apply missing-data treatment or imputation

metadata_completion
type: Class
subclass of: RemediationActionTypeEnum
definition: Complete missing metadata, provenance, or evidence

other
type: Class
subclass of: RemediationActionTypeEnum
definition: Other remediation action type

quarantine
type: Class
subclass of: RemediationActionTypeEnum
definition: Quarantine affected records, fields, or components

recalibration
type: Class
subclass of: RemediationActionTypeEnum
definition: Recalibrate instrument, method, model, rating, or scale

rejection
type: Class
subclass of: RemediationActionTypeEnum
definition: Reject data for the intended purpose

reweighting
type: Class
subclass of: RemediationActionTypeEnum
definition: Apply reweighting, propensity adjustment, or post-stratification

sampling_redesign
type: Class
subclass of: RemediationActionTypeEnum
definition: Redesign sampling, sourcing, or coverage strategy

source_refresh
type: Class
subclass of: RemediationActionTypeEnum
definition: Refresh outdated source data or update versions

uncertainty_inflation
type: Class
subclass of: RemediationActionTypeEnum
definition: Increase uncertainty or apply uncertainty factors to contain risk

unit_canonicalization
type: Class
subclass of: RemediationActionTypeEnum
definition: Canonicalize units, labels, codes, or categories

cancelled
type: Class
subclass of: RemediationStatusEnum
definition: Action has been cancelled

completed
type: Class
subclass of: RemediationStatusEnum
definition: Action is completed

deferred
type: Class
subclass of: RemediationStatusEnum
definition: Action has been deferred

in_progress
type: Class
subclass of: RemediationStatusEnum
definition: Action is in progress

not_applicable
type: Class
subclass of: RemediationStatusEnum
definition: Action is not applicable

planned
type: Class
subclass of: RemediationStatusEnum
definition: Action has been planned

proposed
type: Class
subclass of: RemediationStatusEnum
definition: Action has been proposed

verified
type: Class
subclass of: RemediationStatusEnum
definition: Action has been verified

critical
type: Class
subclass of: SeverityEnum
definition: Critical severity

high
type: Class
subclass of: SeverityEnum
definition: High severity

low
type: Class
subclass of: SeverityEnum
definition: Low severity

moderate
type: Class
subclass of: SeverityEnum
definition: Moderate severity

not_evaluated
type: Class
subclass of: SeverityEnum
definition: Severity has not been evaluated

cv_lookup
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Lookup from quality score to coefficient of variation range

direct_cv
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Directly assigned coefficient of variation

direct_uf
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Directly assigned uncertainty factor

expert_judgement
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Expert judgement or elicitation

lognormal_uf
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Uncertainty factor interpreted on a lognormal scale

monte_carlo
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Monte Carlo simulation using data-quality-derived inputs

not_evaluated
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Translation has not been evaluated

other
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Other uncertainty translation method

sensitivity_analysis
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Sensitivity analysis used to translate data quality into uncertainty

uf_lookup
type: Class
subclass of: UncertaintyTranslationMethodEnum
definition: Lookup from quality score to uncertainty factor

data_characterizations
type: ObjectProperty
range: DataCharacterization
definition: Data characterization records available for reuse by one or more assessments
in scheme: data-quality-framework
owl.filler: dqf:dataCharacterization
sql identifier: dqf_data_characterizations

data_quality_assessments
type: ObjectProperty
range: DataQualityAssessment
definition: Reusable data quality assessments that can be embedded or referenced by other CE-RISE data models
in scheme: data-quality-framework
owl.filler: dqf:dataQualityAssessment
sql identifier: dqf_data_quality_assessments

data_quality_evidence_references
type: ObjectProperty
range: DataQualityEvidenceReference
definition: Evidence records referenced by the data quality framework
in scheme: data-quality-framework
owl.filler: dqf:evidenceReference
sql identifier: dqf_evidence_references

data_quality_profiles
type: ObjectProperty
range: DataQualityProfile
definition: Data quality profiles available for reuse by one or more assessments
in scheme: data-quality-framework
owl.filler: dqf:dataQualityProfile
sql identifier: dqf_data_quality_profiles

quality_aggregations
type: ObjectProperty
range: QualityAggregation
definition: Aggregations of data quality assessments, profiles, criteria, metrics, or uncertainty translations
in scheme: data-quality-framework
owl.filler: dqf:qualityAggregation
sql identifier: dqf_quality_aggregations

uncertainty_translations
type: ObjectProperty
range: UncertaintyTranslation
definition: Translations from data quality scores to uncertainty information
in scheme: data-quality-framework
owl.filler: dqf:uncertaintyTranslation
sql identifier: dqf_uncertainty_translations

QualityCriterionAssessment
type: Class
subclass of: Restriction
  min cardinality: 0
  on property: criterion_type_value
subclass of: Restriction
  all values from: QualityCriterionEnum
  on property: criterion_type_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_threshold_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_impact_value
subclass of: Restriction
  all values from: UncertaintyTranslation
  on property: uncertainty_translation
subclass of: Restriction
  max cardinality: 1
  on property: criterion_impact_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_weight_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_assessment_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_score_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: string
  on property: criterion_impact_value
subclass of: Restriction
  all values from: QualityMetric
  on property: quality_metrics
subclass of: Restriction
  all values from: QualityIssue
  on property: quality_issues
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_type_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_metrics
subclass of: Restriction
  min cardinality: 0
  on property: criterion_score_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_weight_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_numeric_score_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_rationale_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_metric_value
subclass of: Restriction
  all values from: string
  on property: criterion_assessment_identifier_value
subclass of: Restriction
  all values from: string
  on property: criterion_metric_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_metric_value
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_translation
subclass of: Restriction
  all values from: float
  on property: criterion_numeric_score_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_rationale_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_issues
subclass of: Restriction
  all values from: string
  on property: criterion_threshold_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_numeric_score_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_threshold_value
subclass of: Restriction
  all values from: string
  on property: criterion_rationale_value
subclass of: Restriction
  max cardinality: 1
  on property: criterion_assessment_identifier_value
subclass of: Restriction
  all values from: QualityScoreEnum
  on property: criterion_score_value
subclass of: Restriction
  max cardinality: 1
  on property: uncertainty_translation
subclass of: Restriction
  all values from: float
  on property: criterion_weight_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
definition: Criterion-level assessment for a data quality dimension such as validity, accuracy, consistency, timeliness, or completeness
in scheme: data-quality-framework
references: CE-RISE D2.4; NUSAP; W3C Data Quality Vocabulary
sql identifier: dqf_criterion_assessment_record

QualityDiagnostic
type: Class
subclass of: Restriction
  all values from: string
  on property: diagnostic_cause_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_method_value
subclass of: Restriction
  all values from: string
  on property: expectation_specification_value
subclass of: Restriction
  all values from: QualityMetric
  on property: quality_metrics
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_run_timestamp_value
subclass of: Restriction
  all values from: dateTime
  on property: diagnostic_run_timestamp_value
subclass of: Restriction
  min cardinality: 0
  on property: expectation_specification_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_reproducibility_value
subclass of: Restriction
  all values from: string
  on property: diagnostic_software_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_cause_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_software_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_impact_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_run_timestamp_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_issues
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_reproducibility_value
subclass of: Restriction
  all values from: QualityIssue
  on property: quality_issues
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_impact_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: observed_deviation_value
subclass of: Restriction
  max cardinality: 1
  on property: expectation_specification_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: observed_deviation_value
subclass of: Restriction
  all values from: string
  on property: diagnostic_method_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_severity_value
subclass of: Restriction
  all values from: DiagnosticTypeEnum
  on property: diagnostic_type_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_metrics
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: string
  on property: observed_deviation_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_method_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_software_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_type_value
subclass of: Restriction
  all values from: SeverityEnum
  on property: diagnostic_severity_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_severity_value
subclass of: Restriction
  min cardinality: 0
  on property: diagnostic_type_value
subclass of: Restriction
  all values from: string
  on property: diagnostic_impact_value
subclass of: Restriction
  max cardinality: 1
  on property: diagnostic_cause_value
subclass of: Restriction
  all values from: string
  on property: diagnostic_reproducibility_value
subclass of: Restriction
  all values from: string
  on property: diagnostic_identifier_value
definition: Diagnostic run or analysis that compares data against expectations, detects deviations, infers causes, and estimates impact
in scheme: data-quality-framework
references: CE-RISE D2.4; W3C Data Quality Vocabulary; PROV-O
sql identifier: dqf_diagnostic

aggregation_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for an aggregation of data quality assessments, profiles, criteria, metrics, or uncertainty translations
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_aggregation_identifier

aggregation_input_references_value
type: DatatypeProperty
range: string
definition: References to the input assessments, profiles, criteria, metrics, or data sources used in the aggregation
in scheme: data-quality-framework
owl.filler: prov:wasDerivedFrom
sql identifier: dqf_aggregation_input_references

aggregation_level_value
type: ObjectProperty
range: AggregationLevelEnum
definition: Level at which aggregation is performed
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_aggregation_level

aggregation_output_reference_value
type: DatatypeProperty
range: string
definition: Reference to the output assessment, profile, score, uncertainty translation, or decision produced by the aggregation
in scheme: data-quality-framework
owl.filler: prov:generated
sql identifier: dqf_aggregation_output_reference

aggregation_rationale_value
type: DatatypeProperty
range: string
definition: Rationale for the aggregation method and weighting choices
in scheme: data-quality-framework
owl.filler: skos:note
sql identifier: dqf_aggregation_rationale

aggregation_weights_value
type: DatatypeProperty
range: string
definition: Weights or weighting rule used in the aggregation
in scheme: data-quality-framework
owl.filler: dqf:aggregationWeightsValue
sql identifier: dqf_aggregation_weights

assessment_notes_value
type: DatatypeProperty
range: string
definition: Additional notes about the data quality assessment
in scheme: data-quality-framework
owl.filler: rdfs:comment
sql identifier: dqf_assessment_notes

assessment_purpose_value
type: DatatypeProperty
range: string
definition: Purpose for which the data quality assessment is performed
in scheme: data-quality-framework
owl.filler: dqf:assessmentPurposeValue
sql identifier: dqf_assessment_purpose

assessor_value
type: DatatypeProperty
range: string
definition: Person, organization, system, or workflow responsible for the data quality assessment
in scheme: data-quality-framework
owl.filler: prov:wasAssociatedWith
sql identifier: dqf_assessor

coefficient_of_variation_lower_value
type: DatatypeProperty
range: float
definition: Lower bound of coefficient of variation derived from data quality information
in scheme: data-quality-framework
owl.filler: uq:coefficientOfVariationValue
sql identifier: dqf_coefficient_of_variation_lower

coefficient_of_variation_upper_value
type: DatatypeProperty
range: float
definition: Upper bound of coefficient of variation derived from data quality information
in scheme: data-quality-framework
owl.filler: uq:coefficientOfVariationValue
sql identifier: dqf_coefficient_of_variation_upper

collection_end_date_value
type: DatatypeProperty
range: date
definition: End date for the data collection or generation period
in scheme: data-quality-framework
owl.filler: schema:endDate
sql identifier: dqf_collection_end_date

collection_method_value
type: DatatypeProperty
range: string
definition: Method, protocol, procedure, system, or workflow used to collect or generate the data
in scheme: data-quality-framework
owl.filler: prov:used
sql identifier: dqf_collection_method

collection_protocol_value
type: DatatypeProperty
range: string
definition: Documented collection protocol, questionnaire, instrument, test method, API, or extraction logic
in scheme: data-quality-framework
owl.filler: dcterms:conformsTo
sql identifier: dqf_collection_protocol

collection_start_date_value
type: DatatypeProperty
range: date
definition: Start date for the data collection or generation period
in scheme: data-quality-framework
owl.filler: schema:startDate
sql identifier: dqf_collection_start_date

combined_coefficient_of_variation_value
type: DatatypeProperty
range: float
definition: Combined coefficient of variation after aggregating data-quality-derived uncertainty contributions
in scheme: data-quality-framework
owl.filler: uq:coefficientOfVariationValue
sql identifier: dqf_combined_coefficient_of_variation

combined_uncertainty_factor_value
type: DatatypeProperty
range: float
definition: Combined uncertainty factor after aggregating data-quality-derived uncertainty contributions
in scheme: data-quality-framework
owl.filler: uq:uncertaintyFactorValue
sql identifier: dqf_combined_uncertainty_factor

confidence_level_value
type: ObjectProperty
range: ConfidenceLevelEnum
definition: Confidence level implied by the data quality assessment
in scheme: data-quality-framework
owl.filler: dqf:confidenceLevelValue
sql identifier: dqf_confidence_level

criterion_assessment_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a criterion-level quality assessment
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_criterion_assessment_identifier

criterion_impact_value
type: DatatypeProperty
range: string
definition: Impact of this criterion on the intended use, uncertainty, bias, comparability, or decision
in scheme: data-quality-framework
owl.filler: dqf:criterionImpactValue
sql identifier: dqf_criterion_impact

criterion_metric_value
type: DatatypeProperty
range: string
definition: Metric value, observation, or diagnostic result used to support the criterion score
in scheme: data-quality-framework
owl.filler: dqv:value
sql identifier: dqf_criterion_metric

criterion_numeric_score_value
type: DatatypeProperty
range: float
definition: Numeric criterion score when the score is represented as a number
in scheme: data-quality-framework
owl.filler: dqf:criterionNumericScoreValue
sql identifier: dqf_criterion_numeric_score

criterion_rationale_value
type: DatatypeProperty
range: string
definition: Rationale for assigning the criterion score
in scheme: data-quality-framework
owl.filler: skos:note
sql identifier: dqf_criterion_rationale

criterion_score_value
type: ObjectProperty
range: QualityScoreEnum
definition: Pedigree score assigned to a quality criterion
in scheme: data-quality-framework
owl.filler: dqv:hasQualityMeasurement
sql identifier: dqf_criterion_score

criterion_threshold_value
type: DatatypeProperty
range: string
definition: Threshold, rule, target, or expectation used to score the criterion
in scheme: data-quality-framework
owl.filler: dqf:criterionThresholdValue
sql identifier: dqf_criterion_threshold

criterion_type_value
type: ObjectProperty
range: QualityCriterionEnum
definition: Quality criterion being assessed
in scheme: data-quality-framework
owl.filler: dqv:Dimension
sql identifier: dqf_criterion_type

criterion_weight_value
type: DatatypeProperty
range: float
definition: Weight assigned to the criterion in an aggregation or decision rule
in scheme: data-quality-framework
owl.filler: dqf:criterionWeightValue
sql identifier: dqf_criterion_weight

data_characterization
type: ObjectProperty
range: DataCharacterization
definition: Characterization of the assessed data and its provenance
in scheme: data-quality-framework
owl.filler: dqf:dataCharacterization
sql identifier: dqf_data_characterization

data_characterization_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a data characterization record
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_data_characterization_identifier

data_domain_value
type: DatatypeProperty
range: string
definition: Domain or subject area of the data, such as product specification, LCA, diagnostics, compliance, or circularity
in scheme: data-quality-framework
owl.filler: dcterms:subject
sql identifier: dqf_data_domain

data_provider_value
type: DatatypeProperty
range: string
definition: Provider, owner, custodian, supplier, laboratory, or organization responsible for the data
in scheme: data-quality-framework
owl.filler: prov:Agent
sql identifier: dqf_data_provider

data_quality_applies_to_class_value
type: DatatypeProperty
range: string
definition: Class in an external model to which this data quality assessment applies
in scheme: data-quality-framework
owl.filler: dqf:appliesToClassValue
sql identifier: dqf_applies_to_class

data_quality_applies_to_model_value
type: DatatypeProperty
range: string
definition: Name, URI, or namespace of the external data model to which this data quality assessment applies
in scheme: data-quality-framework
owl.filler: dqf:appliesToModelValue
sql identifier: dqf_applies_to_model

data_quality_applies_to_record_value
type: DatatypeProperty
range: string
definition: Identifier of the external record, object, dataset, or passport entry to which this data quality assessment applies
in scheme: data-quality-framework
owl.filler: dqf:appliesToRecordValue
sql identifier: dqf_applies_to_record

data_quality_applies_to_slot_value
type: DatatypeProperty
range: string
definition: Slot or attribute in an external model to which this data quality assessment applies
in scheme: data-quality-framework
owl.filler: dqf:appliesToSlotValue
sql identifier: dqf_applies_to_slot

data_quality_applies_to_value_identifier_value
type: DatatypeProperty
range: string
definition: Identifier of a specific value object when the target model gives value-level identifiers
in scheme: data-quality-framework
owl.filler: dqf:appliesToValueIdentifierValue
sql identifier: dqf_applies_to_value_identifier

data_quality_applies_to_value_path_value
type: DatatypeProperty
range: string
definition: JSONPath, XPath, RDF path, or other pointer to the value to which this data quality assessment applies
in scheme: data-quality-framework
owl.filler: dqf:appliesToValuePathValue
sql identifier: dqf_applies_to_value_path

data_quality_assessment_date_value
type: DatatypeProperty
range: dateTime
definition: Date and time when the data quality assessment was issued or last updated
in scheme: data-quality-framework
owl.filler: dcterms:modified
sql identifier: dqf_assessment_date

data_quality_assessment_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a data quality assessment that can be referenced from another CE-RISE model
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_assessment_identifier

data_quality_assessment_label_value
type: DatatypeProperty
range: string
definition: Human-readable label for the data quality assessment
in scheme: data-quality-framework
owl.filler: rdfs:label
sql identifier: dqf_assessment_label

data_quality_assessment_status_value
type: ObjectProperty
range: AssessmentStatusEnum
definition: Lifecycle status of the data quality assessment
in scheme: data-quality-framework
owl.filler: pav:version
sql identifier: dqf_assessment_status

data_quality_assessment_type_value
type: ObjectProperty
range: DataQualityAssessmentTypeEnum
definition: Type of data quality assessment being documented
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_assessment_type

data_quality_evidence_date_value
type: DatatypeProperty
range: date
definition: Date associated with supporting evidence
in scheme: data-quality-framework
owl.filler: dcterms:date
sql identifier: dqf_evidence_date

data_quality_evidence_description_value
type: DatatypeProperty
range: string
definition: Description of supporting evidence
in scheme: data-quality-framework
owl.filler: dcterms:description
sql identifier: dqf_evidence_description

data_quality_evidence_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for supporting evidence
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_evidence_identifier

data_quality_evidence_provider_value
type: DatatypeProperty
range: string
definition: Provider, author, laboratory, supplier, or organization responsible for supporting evidence
in scheme: data-quality-framework
owl.filler: prov:Agent
sql identifier: dqf_evidence_provider

data_quality_evidence_type_value
type: ObjectProperty
range: DataQualityEvidenceTypeEnum
definition: Type of supporting evidence
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_evidence_type

data_quality_evidence_url_value
type: DatatypeProperty
range: anyURI
definition: URL for supporting evidence
in scheme: data-quality-framework
owl.filler: schema:url
sql identifier: dqf_evidence_url

data_quality_evidence_version_value
type: DatatypeProperty
range: string
definition: Version, edition, or revision of supporting evidence
in scheme: data-quality-framework
owl.filler: pav:version
sql identifier: dqf_evidence_version

data_quality_profile
type: ObjectProperty
range: DataQualityProfile
definition: Data quality profile associated with an assessment
in scheme: data-quality-framework
owl.filler: dqf:dataQualityProfile
sql identifier: dqf_data_quality_profile

data_quality_profile_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a data quality profile aggregating one or more criterion assessments
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_profile_identifier

data_quality_profile_name_value
type: DatatypeProperty
range: string
definition: Human-readable name of a data quality profile
in scheme: data-quality-framework
owl.filler: rdfs:label
sql identifier: dqf_profile_name

data_quality_standards_applied_value
type: DatatypeProperty
range: string
definition: Standard, guide, protocol, or scoring framework applied in the data quality assessment
in scheme: data-quality-framework
owl.filler: dcterms:conformsTo
sql identifier: dqf_standards_applied

data_quality_uncertainty_factor_value
type: DatatypeProperty
range: float
definition: Uncertainty factor derived from data quality information
in scheme: data-quality-framework
owl.filler: uq:uncertaintyFactorValue
sql identifier: dqf_uncertainty_factor

data_quality_unit_value
type: DatatypeProperty
range: string
definition: Unit associated with a quantitative value or metric
in scheme: data-quality-framework
owl.filler: qudt:unit
sql identifier: dqf_unit

data_source_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for the assessed data source, dataset, value source, or information source
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_data_source_identifier

data_source_name_value
type: DatatypeProperty
range: string
definition: Name of the assessed data source, dataset, value source, or information source
in scheme: data-quality-framework
owl.filler: rdfs:label
sql identifier: dqf_data_source_name

data_source_type_value
type: ObjectProperty
range: DataSourceTypeEnum
definition: Type of data source used
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_data_source_type

data_type_value
type: ObjectProperty
range: DataTypeEnum
definition: Type of data being assessed
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_data_type

data_version_value
type: DatatypeProperty
range: string
definition: Version, edition, revision, release date, or snapshot identifier for the assessed data
in scheme: data-quality-framework
owl.filler: pav:version
sql identifier: dqf_data_version

diagnostic_cause_value
type: DatatypeProperty
range: string
definition: Plausible or confirmed cause of the observed diagnostic finding
in scheme: data-quality-framework
owl.filler: dqf:diagnosticCauseValue
sql identifier: dqf_diagnostic_cause

diagnostic_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a diagnostic run, check, or analysis
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_diagnostic_identifier

diagnostic_impact_value
type: DatatypeProperty
range: string
definition: Impact of the diagnostic finding on the intended analysis, decision, uncertainty, or comparability
in scheme: data-quality-framework
owl.filler: dqf:diagnosticImpactValue
sql identifier: dqf_diagnostic_impact

diagnostic_method_value
type: DatatypeProperty
range: string
definition: Diagnostic method, test, script, notebook, query, or procedure used
in scheme: data-quality-framework
owl.filler: prov:used
sql identifier: dqf_diagnostic_method

diagnostic_reproducibility_value
type: DatatypeProperty
range: string
definition: Information needed to reproduce the diagnostic run, such as pinned dependencies, configuration, hash, or workflow version
in scheme: data-quality-framework
owl.filler: dqf:diagnosticReproducibilityValue
sql identifier: dqf_diagnostic_reproducibility

diagnostic_run_timestamp_value
type: DatatypeProperty
range: dateTime
definition: Date and time when the diagnostic run was executed
in scheme: data-quality-framework
owl.filler: prov:generatedAtTime
sql identifier: dqf_diagnostic_run_timestamp

diagnostic_severity_value
type: ObjectProperty
range: SeverityEnum
definition: Severity of the diagnostic finding
in scheme: data-quality-framework
owl.filler: dqf:diagnosticSeverityValue
sql identifier: dqf_diagnostic_severity

diagnostic_software_reference_value
type: DatatypeProperty
range: string
definition: Software, notebook, workflow, configuration, or service used to execute the diagnostic
in scheme: data-quality-framework
owl.filler: prov:SoftwareAgent
sql identifier: dqf_diagnostic_software_reference

diagnostic_type_value
type: ObjectProperty
range: DiagnosticTypeEnum
definition: Type of data quality diagnostic
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_diagnostic_type

expectation_specification_value
type: DatatypeProperty
range: string
definition: Expected value, threshold, rule, contract, baseline, or target used by the diagnostic
in scheme: data-quality-framework
owl.filler: dqf:expectationSpecificationValue
sql identifier: dqf_expectation_specification

expected_score_improvement_value
type: DatatypeProperty
range: string
definition: Expected score, score change, or quality improvement after remediation
in scheme: data-quality-framework
owl.filler: dqf:expectedScoreImprovementValue
sql identifier: dqf_expected_score_improvement

fitness_for_purpose_value
type: ObjectProperty
range: FitnessForPurposeEnum
definition: Overall statement of whether the data are fit for the stated purpose
in scheme: data-quality-framework
owl.filler: dqv:hasQualityAnnotation
sql identifier: dqf_fitness_for_purpose

geographic_coverage_value
type: DatatypeProperty
range: string
definition: Geographic coverage or spatial representativeness of the data
in scheme: data-quality-framework
owl.filler: dcterms:spatial
sql identifier: dqf_geographic_coverage

harmonization_description_value
type: DatatypeProperty
range: string
definition: Harmonization, mapping, coding, unit conversion, or schema alignment applied to combine or compare data
in scheme: data-quality-framework
owl.filler: dqf:harmonizationDescriptionValue
sql identifier: dqf_harmonization_description

intended_use_value
type: DatatypeProperty
range: string
definition: Intended use, decision context, or analytical purpose for which data fitness is assessed
in scheme: data-quality-framework
owl.filler: dqf:intendedUseValue
sql identifier: dqf_intended_use

issue_affected_criteria_value
type: DatatypeProperty
range: string
definition: Quality criteria affected by the issue
in scheme: data-quality-framework
owl.filler: dqf:issueAffectedCriteriaValue
sql identifier: dqf_issue_affected_criteria

issue_detected_date_value
type: DatatypeProperty
range: date
definition: Date when the issue was detected
in scheme: data-quality-framework
owl.filler: dcterms:date
sql identifier: dqf_issue_detected_date

issue_risk_statement_value
type: DatatypeProperty
range: string
definition: Risk statement explaining how the issue may affect the intended use, decision, or analysis
in scheme: data-quality-framework
owl.filler: dqf:issueRiskStatementValue
sql identifier: dqf_issue_risk_statement

issue_root_cause_value
type: DatatypeProperty
range: string
definition: Root cause, suspected cause, or causal inference for the issue
in scheme: data-quality-framework
owl.filler: dqf:issueRootCauseValue
sql identifier: dqf_issue_root_cause

issue_scope_value
type: DatatypeProperty
range: string
definition: Scope of the issue, such as affected fields, records, time periods, regions, suppliers, or processes
in scheme: data-quality-framework
owl.filler: dcterms:coverage
sql identifier: dqf_issue_scope

issue_severity_value
type: ObjectProperty
range: SeverityEnum
definition: Severity or criticality of the data quality issue
in scheme: data-quality-framework
owl.filler: dqf:issueSeverityValue
sql identifier: dqf_issue_severity

issue_status_value
type: ObjectProperty
range: IssueStatusEnum
definition: Lifecycle status of the data quality issue
in scheme: data-quality-framework
owl.filler: dqf:issueStatusValue
sql identifier: dqf_issue_status

limiting_criteria_value
type: DatatypeProperty
range: string
definition: Criterion or criteria that limit the overall score, confidence, or decision flag
in scheme: data-quality-framework
owl.filler: dqf:limitingCriteriaValue
sql identifier: dqf_limiting_criteria

metric_method_value
type: DatatypeProperty
range: string
definition: Method, query, diagnostic procedure, rule, or script used to compute the metric
in scheme: data-quality-framework
owl.filler: prov:used
sql identifier: dqf_metric_method

metric_numeric_value
type: DatatypeProperty
range: float
definition: Numeric value of a metric, indicator, diagnostic output, or score
in scheme: data-quality-framework
owl.filler: qudt:numericValue
sql identifier: dqf_metric_numeric_value

metric_pass_flag_value
type: DatatypeProperty
range: boolean
definition: Whether the metric passes the defined threshold or expectation
in scheme: data-quality-framework
owl.filler: dqf:metricPassFlagValue
sql identifier: dqf_metric_pass_flag

metric_text_value
type: DatatypeProperty
range: string
definition: Textual, categorical, or structured value of a metric, indicator, diagnostic output, or score
in scheme: data-quality-framework
owl.filler: schema:value
sql identifier: dqf_metric_text_value

metric_threshold_value
type: DatatypeProperty
range: string
definition: Threshold, tolerance, expectation, or acceptance criterion for the metric
in scheme: data-quality-framework
owl.filler: dqf:metricThresholdValue
sql identifier: dqf_metric_threshold

metric_unit_value
type: DatatypeProperty
range: string
definition: Unit associated with a metric value
in scheme: data-quality-framework
owl.filler: qudt:unit
sql identifier: dqf_metric_unit

observed_deviation_value
type: DatatypeProperty
range: string
definition: Observed deviation from the expectation, threshold, baseline, or target
in scheme: data-quality-framework
owl.filler: dqf:observedDeviationValue
sql identifier: dqf_observed_deviation

overall_numeric_score_value
type: DatatypeProperty
range: float
definition: Numeric quality score when the score is represented as a number
in scheme: data-quality-framework
owl.filler: dqf:overallNumericScoreValue
sql identifier: dqf_overall_numeric_score

overall_quality_score_value
type: ObjectProperty
range: QualityScoreEnum
definition: Overall pedigree score for the assessed data, typically from 1 very reliable to 4 dubious
in scheme: data-quality-framework
owl.filler: dqv:hasQualityMeasurement
sql identifier: dqf_overall_quality_score

population_or_scope_value
type: DatatypeProperty
range: string
definition: Target population, inference scope, product scope, material scope, or process scope represented by the data
in scheme: data-quality-framework
owl.filler: dcterms:coverage
sql identifier: dqf_population_or_scope

preprocessing_description_value
type: DatatypeProperty
range: string
definition: Preprocessing, cleaning, transformation, imputation, filtering, or normalization applied before assessment
in scheme: data-quality-framework
owl.filler: dqf:preprocessingDescriptionValue
sql identifier: dqf_preprocessing_description

profile_summary_value
type: DatatypeProperty
range: string
definition: Summary of the data quality profile, including main strengths and weaknesses
in scheme: data-quality-framework
owl.filler: dcterms:description
sql identifier: dqf_profile_summary

provenance_description_value
type: DatatypeProperty
range: string
definition: Narrative provenance of the data, including who collected it, when, under which protocol, and how it was processed
in scheme: data-quality-framework
owl.filler: prov:wasDerivedFrom
sql identifier: dqf_provenance_description

quality_flag_value
type: ObjectProperty
range: QualityFlagEnum
definition: Operational decision flag derived from the quality profile
in scheme: data-quality-framework
owl.filler: dqf:qualityFlagValue
sql identifier: dqf_quality_flag

quality_issue_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a data quality issue, limitation, anomaly, or risk
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_quality_issue_identifier

quality_issue_type_value
type: ObjectProperty
range: QualityIssueTypeEnum
definition: Type of data quality issue
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_quality_issue_type

quality_metric_category_value
type: ObjectProperty
range: QualityCriterionEnum
definition: Category or criterion to which the quality metric belongs
in scheme: data-quality-framework
owl.filler: dqv:inDimension
sql identifier: dqf_quality_metric_category

quality_metric_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a data quality metric or diagnostic metric
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_quality_metric_identifier

quality_metric_name_value
type: DatatypeProperty
range: string
definition: Human-readable name of the data quality metric
in scheme: data-quality-framework
owl.filler: rdfs:label
sql identifier: dqf_quality_metric_name

remediation_action_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a remediation action, mitigation, containment, or improvement activity
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_remediation_action_identifier

remediation_action_type_value
type: ObjectProperty
range: RemediationActionTypeEnum
definition: Type of remediation action
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_remediation_action_type

remediation_completion_date_value
type: DatatypeProperty
range: date
definition: Completion date for the remediation activity
in scheme: data-quality-framework
owl.filler: schema:dateCompleted
sql identifier: dqf_remediation_completion_date

remediation_description_value
type: DatatypeProperty
range: string
definition: Description of the remediation, mitigation, containment, or improvement activity
in scheme: data-quality-framework
owl.filler: dcterms:description
sql identifier: dqf_remediation_description

remediation_due_date_value
type: DatatypeProperty
range: date
definition: Due date for the remediation activity
in scheme: data-quality-framework
owl.filler: schema:endDate
sql identifier: dqf_remediation_due_date

remediation_owner_value
type: DatatypeProperty
range: string
definition: Person, organization, team, system, or workflow responsible for remediation
in scheme: data-quality-framework
owl.filler: prov:Agent
sql identifier: dqf_remediation_owner

remediation_priority_value
type: ObjectProperty
range: PriorityEnum
definition: Priority assigned to the remediation activity
in scheme: data-quality-framework
owl.filler: dqf:remediationPriorityValue
sql identifier: dqf_remediation_priority

remediation_status_value
type: ObjectProperty
range: RemediationStatusEnum
definition: Lifecycle status of the remediation activity
in scheme: data-quality-framework
owl.filler: dqf:remediationStatusValue
sql identifier: dqf_remediation_status

sample_size_value
type: DatatypeProperty
range: integer
definition: Sample size, number of observations, number of records, or number of contributing sources
in scheme: data-quality-framework
owl.filler: dqf:sampleSizeValue
sql identifier: dqf_sample_size

source_quality_score_value
type: ObjectProperty
range: QualityScoreEnum
definition: Quality score used as input to the uncertainty translation
in scheme: data-quality-framework
owl.filler: dqf:sourceQualityScoreValue
sql identifier: dqf_source_quality_score

technological_coverage_value
type: DatatypeProperty
range: string
definition: Technological, product, process, or system coverage represented by the data
in scheme: data-quality-framework
owl.filler: dqf:technologicalCoverageValue
sql identifier: dqf_technological_coverage

temporal_coverage_value
type: DatatypeProperty
range: string
definition: Temporal coverage or period represented by the data
in scheme: data-quality-framework
owl.filler: dcterms:temporal
sql identifier: dqf_temporal_coverage

uncertainty_distribution_assumption_value
type: DatatypeProperty
range: string
definition: Distributional assumption used for data-quality-derived uncertainty, such as normal or lognormal
in scheme: data-quality-framework
owl.filler: dqf:uncertaintyDistributionAssumptionValue
sql identifier: dqf_uncertainty_distribution_assumption

uncertainty_translation_identifier_value
type: DatatypeProperty
range: string
definition: Identifier for a translation from data quality scores to uncertainty information
in scheme: data-quality-framework
owl.filler: dcterms:identifier
sql identifier: dqf_uncertainty_translation_identifier

uncertainty_translation_method_value
type: ObjectProperty
range: UncertaintyTranslationMethodEnum
definition: Method used to translate data quality information into uncertainty
in scheme: data-quality-framework
owl.filler: dcterms:type
sql identifier: dqf_uncertainty_translation_method

uncertainty_translation_rationale_value
type: DatatypeProperty
range: string
definition: Rationale explaining how data quality information was translated into uncertainty
in scheme: data-quality-framework
owl.filler: skos:note
sql identifier: dqf_uncertainty_translation_rationale

update_frequency_value
type: DatatypeProperty
range: string
definition: Update cadence or refresh frequency for the data
in scheme: data-quality-framework
owl.filler: dcterms:accrualPeriodicity
sql identifier: dqf_update_frequency

variable_definition_value
type: DatatypeProperty
range: string
definition: Definition of the variable, field, indicator, category, or qualitative construct being assessed
in scheme: data-quality-framework
owl.filler: skos:definition
sql identifier: dqf_variable_definition

verification_method_value
type: DatatypeProperty
range: string
definition: Method or evidence used to verify that remediation was effective
in scheme: data-quality-framework
owl.filler: dqf:verificationMethodValue
sql identifier: dqf_verification_method

DataCharacterization
type: Class
subclass of: Restriction
  all values from: string
  on property: data_domain_value
subclass of: Restriction
  min cardinality: 0
  on property: collection_start_date_value
subclass of: Restriction
  min cardinality: 0
  on property: data_provider_value
subclass of: Restriction
  max cardinality: 1
  on property: data_provider_value
subclass of: Restriction
  max cardinality: 1
  on property: collection_protocol_value
subclass of: Restriction
  max cardinality: 1
  on property: geographic_coverage_value
subclass of: Restriction
  min cardinality: 0
  on property: data_source_name_value
subclass of: Restriction
  max cardinality: 1
  on property: data_source_type_value
subclass of: Restriction
  all values from: date
  on property: collection_start_date_value
subclass of: Restriction
  all values from: string
  on property: geographic_coverage_value
subclass of: Restriction
  max cardinality: 1
  on property: update_frequency_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: data_source_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: sample_size_value
subclass of: Restriction
  max cardinality: 1
  on property: data_version_value
subclass of: Restriction
  min cardinality: 0
  on property: collection_method_value
subclass of: Restriction
  max cardinality: 1
  on property: provenance_description_value
subclass of: Restriction
  min cardinality: 0
  on property: provenance_description_value
subclass of: Restriction
  min cardinality: 0
  on property: temporal_coverage_value
subclass of: Restriction
  all values from: string
  on property: provenance_description_value
subclass of: Restriction
  all values from: string
  on property: technological_coverage_value
subclass of: Restriction
  max cardinality: 1
  on property: variable_definition_value
subclass of: Restriction
  max cardinality: 1
  on property: data_source_name_value
subclass of: Restriction
  all values from: string
  on property: harmonization_description_value
subclass of: Restriction
  min cardinality: 0
  on property: data_source_type_value
subclass of: Restriction
  max cardinality: 1
  on property: harmonization_description_value
subclass of: Restriction
  all values from: DataSourceTypeEnum
  on property: data_source_type_value
subclass of: Restriction
  max cardinality: 1
  on property: collection_method_value
subclass of: Restriction
  min cardinality: 0
  on property: variable_definition_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_unit_value
subclass of: Restriction
  max cardinality: 1
  on property: data_domain_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: harmonization_description_value
subclass of: Restriction
  all values from: string
  on property: data_provider_value
subclass of: Restriction
  min cardinality: 0
  on property: data_version_value
subclass of: Restriction
  all values from: string
  on property: temporal_coverage_value
subclass of: Restriction
  all values from: string
  on property: data_version_value
subclass of: Restriction
  max cardinality: 1
  on property: collection_end_date_value
subclass of: Restriction
  max cardinality: 1
  on property: population_or_scope_value
subclass of: Restriction
  all values from: string
  on property: data_quality_unit_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_unit_value
subclass of: Restriction
  all values from: string
  on property: data_quality_traceability_reference_value
subclass of: Restriction
  all values from: string
  on property: data_source_name_value
subclass of: Restriction
  all values from: string
  on property: preprocessing_description_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_traceability_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: data_domain_value
subclass of: Restriction
  all values from: string
  on property: variable_definition_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_traceability_reference_value
subclass of: Restriction
  all values from: string
  on property: data_source_identifier_value
subclass of: Restriction
  all values from: DataTypeEnum
  on property: data_type_value
subclass of: Restriction
  max cardinality: 1
  on property: temporal_coverage_value
subclass of: Restriction
  min cardinality: 0
  on property: population_or_scope_value
subclass of: Restriction
  min cardinality: 0
  on property: data_source_identifier_value
subclass of: Restriction
  all values from: date
  on property: collection_end_date_value
subclass of: Restriction
  min cardinality: 0
  on property: geographic_coverage_value
subclass of: Restriction
  max cardinality: 1
  on property: data_characterization_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: sample_size_value
subclass of: Restriction
  all values from: string
  on property: data_characterization_identifier_value
subclass of: Restriction
  all values from: string
  on property: collection_protocol_value
subclass of: Restriction
  all values from: integer
  on property: sample_size_value
subclass of: Restriction
  min cardinality: 0
  on property: collection_end_date_value
subclass of: Restriction
  all values from: string
  on property: update_frequency_value
subclass of: Restriction
  min cardinality: 0
  on property: collection_protocol_value
subclass of: Restriction
  all values from: string
  on property: population_or_scope_value
subclass of: Restriction
  max cardinality: 1
  on property: technological_coverage_value
subclass of: Restriction
  min cardinality: 0
  on property: data_type_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
definition: Characterization of the assessed data, including source, provenance, scope, collection method, versioning, and preprocessing
in scheme: data-quality-framework
references: W3C DCAT; PROV-O; DQV; ISO 8000
sql identifier: dqf_data_characterization_record

DataQualityProfile
type: Class
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: overall_numeric_score_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_profile_name_value
subclass of: Restriction
  min cardinality: 0
  on property: confidence_level_value
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_translation
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_profile_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: aggregation_method_value
subclass of: Restriction
  max cardinality: 1
  on property: profile_summary_value
subclass of: Restriction
  min cardinality: 0
  on property: aggregation_method_value
subclass of: Restriction
  all values from: float
  on property: overall_numeric_score_value
subclass of: Restriction
  all values from: string
  on property: data_quality_profile_name_value
subclass of: Restriction
  max cardinality: 1
  on property: limiting_criteria_value
subclass of: Restriction
  min cardinality: 0
  on property: overall_quality_score_value
subclass of: Restriction
  all values from: QualityScoreEnum
  on property: overall_quality_score_value
subclass of: Restriction
  all values from: UncertaintyTranslation
  on property: uncertainty_translation
subclass of: Restriction
  all values from: string
  on property: data_quality_profile_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: profile_summary_value
subclass of: Restriction
  all values from: ConfidenceLevelEnum
  on property: confidence_level_value
subclass of: Restriction
  all values from: QualityCriterionAssessment
  on property: criterion_assessments
subclass of: Restriction
  min cardinality: 0
  on property: overall_numeric_score_value
subclass of: Restriction
  max cardinality: 1
  on property: quality_flag_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_profile_name_value
subclass of: Restriction
  all values from: string
  on property: profile_summary_value
subclass of: Restriction
  max cardinality: 1
  on property: confidence_level_value
subclass of: Restriction
  max cardinality: 1
  on property: overall_quality_score_value
subclass of: Restriction
  max cardinality: 1
  on property: uncertainty_translation
subclass of: Restriction
  all values from: AggregationMethodEnum
  on property: aggregation_method_value
subclass of: Restriction
  all values from: QualityFlagEnum
  on property: quality_flag_value
subclass of: Restriction
  all values from: string
  on property: limiting_criteria_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_profile_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: criterion_assessments
subclass of: Restriction
  min cardinality: 0
  on property: limiting_criteria_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_flag_value
definition: Profile aggregating data quality criteria, scores, flags, and confidence for a dataset, value, source, or information product
in scheme: data-quality-framework
references: CE-RISE D2.4; NUSAP; W3C Data Quality Vocabulary
sql identifier: dqf_profile

QualityMetric
type: Class
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: metric_numeric_value
subclass of: Restriction
  min cardinality: 0
  on property: metric_pass_flag_value
subclass of: Restriction
  all values from: string
  on property: quality_metric_name_value
subclass of: Restriction
  min cardinality: 0
  on property: metric_text_value
subclass of: Restriction
  max cardinality: 1
  on property: metric_numeric_value
subclass of: Restriction
  max cardinality: 1
  on property: quality_metric_category_value
subclass of: Restriction
  all values from: boolean
  on property: metric_pass_flag_value
subclass of: Restriction
  all values from: float
  on property: metric_numeric_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: string
  on property: metric_text_value
subclass of: Restriction
  all values from: string
  on property: metric_threshold_value
subclass of: Restriction
  max cardinality: 1
  on property: metric_method_value
subclass of: Restriction
  min cardinality: 0
  on property: metric_method_value
subclass of: Restriction
  min cardinality: 0
  on property: metric_threshold_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_metric_name_value
subclass of: Restriction
  min cardinality: 0
  on property: metric_unit_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: quality_metric_name_value
subclass of: Restriction
  max cardinality: 1
  on property: metric_threshold_value
subclass of: Restriction
  max cardinality: 1
  on property: metric_pass_flag_value
subclass of: Restriction
  max cardinality: 1
  on property: metric_unit_value
subclass of: Restriction
  max cardinality: 1
  on property: metric_text_value
subclass of: Restriction
  all values from: string
  on property: metric_method_value
subclass of: Restriction
  all values from: string
  on property: quality_metric_identifier_value
subclass of: Restriction
  all values from: QualityCriterionEnum
  on property: quality_metric_category_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_metric_category_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_metric_identifier_value
subclass of: Restriction
  all values from: string
  on property: metric_unit_value
subclass of: Restriction
  max cardinality: 1
  on property: quality_metric_identifier_value
definition: Metric, indicator, diagnostic output, threshold check, or quality measurement supporting a criterion score
in scheme: data-quality-framework
references: W3C Data Quality Vocabulary
sql identifier: dqf_quality_metric_record

RemediationAction
type: Class
subclass of: Restriction
  max cardinality: 1
  on property: verification_method_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_owner_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_description_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_due_date_value
subclass of: Restriction
  all values from: PriorityEnum
  on property: remediation_priority_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_action_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_due_date_value
subclass of: Restriction
  all values from: string
  on property: remediation_description_value
subclass of: Restriction
  min cardinality: 0
  on property: verification_method_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_action_type_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_completion_date_value
subclass of: Restriction
  all values from: RemediationActionTypeEnum
  on property: remediation_action_type_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_completion_date_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_priority_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_action_identifier_value
subclass of: Restriction
  all values from: string
  on property: remediation_action_identifier_value
subclass of: Restriction
  all values from: date
  on property: remediation_due_date_value
subclass of: Restriction
  all values from: string
  on property: verification_method_value
subclass of: Restriction
  all values from: RemediationStatusEnum
  on property: remediation_status_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_description_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_owner_value
subclass of: Restriction
  all values from: date
  on property: remediation_completion_date_value
subclass of: Restriction
  all values from: string
  on property: remediation_owner_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_priority_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_status_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_status_value
subclass of: Restriction
  min cardinality: 0
  on property: expected_score_improvement_value
subclass of: Restriction
  max cardinality: 1
  on property: expected_score_improvement_value
subclass of: Restriction
  max cardinality: 1
  on property: remediation_action_type_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: string
  on property: expected_score_improvement_value
definition: Remediation, mitigation, containment, or improvement activity for a data quality issue
in scheme: data-quality-framework
references: CE-RISE D2.4
sql identifier: dqf_remediation_action_record

criterion_assessments
type: ObjectProperty
range: QualityCriterionAssessment
definition: Criterion-level pedigree assessments
in scheme: data-quality-framework
owl.filler: dqf:criterionAssessment
sql identifier: dqf_criterion_assessments

quality_diagnostics
type: ObjectProperty
range: QualityDiagnostic
definition: Data-quality diagnostic runs, checks, or analyses
in scheme: data-quality-framework
owl.filler: dqf:qualityDiagnostic
sql identifier: dqf_quality_diagnostics

QualityIssue
type: Class
subclass of: Restriction
  max cardinality: 1
  on property: issue_affected_criteria_value
subclass of: Restriction
  all values from: string
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: issue_root_cause_value
subclass of: Restriction
  all values from: string
  on property: quality_issue_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: issue_risk_statement_value
subclass of: Restriction
  max cardinality: 1
  on property: issue_status_value
subclass of: Restriction
  max cardinality: 1
  on property: issue_root_cause_value
subclass of: Restriction
  all values from: string
  on property: issue_scope_value
subclass of: Restriction
  all values from: SeverityEnum
  on property: issue_severity_value
subclass of: Restriction
  min cardinality: 0
  on property: issue_status_value
subclass of: Restriction
  max cardinality: 1
  on property: issue_detected_date_value
subclass of: Restriction
  all values from: string
  on property: issue_affected_criteria_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: date
  on property: issue_detected_date_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  all values from: string
  on property: issue_risk_statement_value
subclass of: Restriction
  all values from: RemediationAction
  on property: remediation_actions
subclass of: Restriction
  min cardinality: 0
  on property: issue_scope_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: quality_issue_identifier_value
subclass of: Restriction
  all values from: string
  on property: issue_root_cause_value
subclass of: Restriction
  all values from: QualityIssueTypeEnum
  on property: quality_issue_type_value
subclass of: Restriction
  min cardinality: 0
  on property: issue_affected_criteria_value
subclass of: Restriction
  max cardinality: 1
  on property: issue_scope_value
subclass of: Restriction
  min cardinality: 0
  on property: remediation_actions
subclass of: Restriction
  max cardinality: 1
  on property: issue_risk_statement_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  all values from: IssueStatusEnum
  on property: issue_status_value
subclass of: Restriction
  max cardinality: 1
  on property: issue_severity_value
subclass of: Restriction
  max cardinality: 1
  on property: quality_issue_type_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: issue_detected_date_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_issue_type_value
subclass of: Restriction
  min cardinality: 0
  on property: issue_severity_value
subclass of: Restriction
  min cardinality: 0
  on property: quality_issue_identifier_value
definition: Data quality issue, limitation, anomaly, or risk identified through scoring, diagnostics, provenance review, or expert assessment
in scheme: data-quality-framework
references: CE-RISE D2.4
sql identifier: dqf_issue

QualityFlagEnum
type: Class
union of: green_proceed
union of: orange_review
union of: red_reject
union of: grey_not_evaluated
definition: Operational decision flags derived from quality scores
in scheme: data-quality-framework
permissible values: green_proceed
permissible values: grey_not_evaluated
permissible values: orange_review
permissible values: red_reject

UncertaintyTranslation
type: Class
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  all values from: float
  on property: combined_uncertainty_factor_value
subclass of: Restriction
  max cardinality: 1
  on property: uncertainty_translation_rationale_value
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_translation_identifier_value
subclass of: Restriction
  max cardinality: 1
  on property: source_quality_score_value
subclass of: Restriction
  all values from: QualityScoreEnum
  on property: source_quality_score_value
subclass of: Restriction
  max cardinality: 1
  on property: coefficient_of_variation_lower_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_uncertainty_factor_value
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_translation_rationale_value
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_translation_method_value
subclass of: Restriction
  min cardinality: 0
  on property: combined_uncertainty_factor_value
subclass of: Restriction
  min cardinality: 0
  on property: uncertainty_distribution_assumption_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: coefficient_of_variation_upper_value
subclass of: Restriction
  all values from: string
  on property: uncertainty_translation_identifier_value
subclass of: Restriction
  min cardinality: 0
  on property: coefficient_of_variation_lower_value
subclass of: Restriction
  max cardinality: 1
  on property: coefficient_of_variation_upper_value
subclass of: Restriction
  all values from: float
  on property: combined_coefficient_of_variation_value
subclass of: Restriction
  min cardinality: 0
  on property: combined_coefficient_of_variation_value
subclass of: Restriction
  all values from: UncertaintyTranslationMethodEnum
  on property: uncertainty_translation_method_value
subclass of: Restriction
  all values from: string
  on property: uncertainty_distribution_assumption_value
subclass of: Restriction
  max cardinality: 1
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  all values from: string
  on property: uncertainty_translation_rationale_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  max cardinality: 1
  on property: combined_uncertainty_factor_value
subclass of: Restriction
  all values from: float
  on property: data_quality_uncertainty_factor_value
subclass of: Restriction
  all values from: float
  on property: coefficient_of_variation_lower_value
subclass of: Restriction
  min cardinality: 0
  on property: data_quality_uncertainty_factor_value
subclass of: Restriction
  max cardinality: 1
  on property: combined_coefficient_of_variation_value
subclass of: Restriction
  all values from: string
  on property: data_quality_uncertainty_reference_value
subclass of: Restriction
  min cardinality: 0
  on property: source_quality_score_value
subclass of: Restriction
  max cardinality: 1
  on property: uncertainty_translation_method_value
subclass of: Restriction
  max cardinality: 1
  on property: uncertainty_distribution_assumption_value
subclass of: Restriction
  all values from: string
  on property: data_quality_evidence_reference_value
subclass of: Restriction
  all values from: float
  on property: coefficient_of_variation_upper_value
subclass of: Restriction
  max cardinality: 1
  on property: uncertainty_translation_identifier_value
definition: Translation from data quality information into uncertainty metadata, such as coefficient of variation or uncertainty factor
in scheme: data-quality-framework
references: CE-RISE D2.4; JCGM 100:2008; JCGM 101:2008
sql identifier: dqf_uncertainty_translation_record

aggregation_method_value
type: ObjectProperty
range: AggregationMethodEnum
definition: Method used to aggregate criterion scores or lower-level assessments into a profile
in scheme: data-quality-framework
owl.filler: dqf:aggregationMethodValue
sql identifier: dqf_aggregation_method

data_quality_traceability_reference_value
type: DatatypeProperty
range: string
definition: Reference to a metrological traceability statement, chain, method, calibration, or boundary definition related to this data quality assessment
in scheme: data-quality-framework
owl.filler: mt:traceabilityReference
sql identifier: dqf_traceability_reference

quality_metrics
type: ObjectProperty
range: QualityMetric
definition: Quality metrics or diagnostic metrics used by profiles, criteria, or diagnostics
in scheme: data-quality-framework
owl.filler: dqf:qualityMetric
sql identifier: dqf_quality_metrics

remediation_actions
type: ObjectProperty
range: RemediationAction
definition: Remediation, mitigation, containment, or improvement actions
in scheme: data-quality-framework
owl.filler: dqf:remediationAction
sql identifier: dqf_remediation_actions

ConfidenceLevelEnum
type: Class
union of: high
union of: medium
union of: low
union of: very_low
union of: not_evaluated
definition: Confidence levels derived from data quality assessment
in scheme: data-quality-framework
permissible values: high
permissible values: low
permissible values: medium
permissible values: not_evaluated
permissible values: very_low

PriorityEnum
type: Class
union of: low
union of: medium
union of: high
union of: urgent
union of: not_assigned
definition: Priority values for remediation actions
in scheme: data-quality-framework
permissible values: high
permissible values: low
permissible values: medium
permissible values: not_assigned
permissible values: urgent

FitnessForPurposeEnum
type: Class
union of: fit
union of: fit_with_conditions
union of: exploratory_only
union of: not_fit
union of: insufficient_information
union of: not_evaluated
definition: Fitness-for-purpose decision values
in scheme: data-quality-framework
permissible values: exploratory_only
permissible values: fit
permissible values: fit_with_conditions
permissible values: insufficient_information
permissible values: not_evaluated
permissible values: not_fit

quality_issues
type: ObjectProperty
range: QualityIssue
definition: Data quality issues, limitations, anomalies, or risks
in scheme: data-quality-framework
owl.filler: dqf:qualityIssue
sql identifier: dqf_quality_issues

IssueStatusEnum
type: Class
union of: open
union of: under_review
union of: mitigated
union of: remediated
union of: accepted_risk
union of: closed
union of: superseded
definition: Lifecycle status of data quality issues
in scheme: data-quality-framework
permissible values: accepted_risk
permissible values: closed
permissible values: mitigated
permissible values: open
permissible values: remediated
permissible values: superseded
permissible values: under_review

SeverityEnum
type: Class
union of: low
union of: moderate
union of: high
union of: critical
union of: not_evaluated
definition: Severity values for diagnostics and quality issues
in scheme: data-quality-framework
permissible values: critical
permissible values: high
permissible values: low
permissible values: moderate
permissible values: not_evaluated

data_quality_uncertainty_reference_value
type: DatatypeProperty
range: string
definition: Reference to an uncertainty statement, uncertainty budget, or uncertainty component informed by this data quality assessment
in scheme: data-quality-framework
owl.filler: uq:uncertaintyReference
sql identifier: dqf_uncertainty_reference

uncertainty_translation
type: ObjectProperty
range: UncertaintyTranslation
definition: DQA-to-uncertainty translation associated with an assessment or profile
in scheme: data-quality-framework
owl.filler: dqf:uncertaintyTranslation
sql identifier: dqf_uncertainty_translation

AssessmentStatusEnum
type: Class
union of: draft
union of: active
union of: reviewed
union of: verified
union of: partial
union of: superseded
union of: expired
union of: unavailable
definition: Lifecycle status values for data quality assessments
in scheme: data-quality-framework
permissible values: active
permissible values: draft
permissible values: expired
permissible values: partial
permissible values: reviewed
permissible values: superseded
permissible values: unavailable
permissible values: verified

RemediationStatusEnum
type: Class
union of: proposed
union of: planned
union of: in_progress
union of: completed
union of: verified
union of: deferred
union of: cancelled
union of: not_applicable
definition: Lifecycle status of remediation actions
in scheme: data-quality-framework
permissible values: cancelled
permissible values: completed
permissible values: deferred
permissible values: in_progress
permissible values: not_applicable
permissible values: planned
permissible values: proposed
permissible values: verified

DataQualityAssessmentTypeEnum
type: Class
union of: value_assessment
union of: record_assessment
union of: dataset_assessment
union of: indicator_input_assessment
union of: indicator_output_assessment
union of: evidence_assessment
union of: process_assessment
union of: composite_assessment
union of: not_evaluated
union of: other
definition: Kinds of data quality assessments supported by this model
in scheme: data-quality-framework
permissible values: composite_assessment
permissible values: dataset_assessment
permissible values: evidence_assessment
permissible values: indicator_input_assessment
permissible values: indicator_output_assessment
permissible values: not_evaluated
permissible values: other
permissible values: process_assessment
permissible values: record_assessment
permissible values: value_assessment

DataTypeEnum
type: Class
union of: quantitative
union of: semi_quantitative
union of: qualitative
union of: categorical
union of: boolean
union of: time_series
union of: geospatial
union of: modelled
union of: mixed
union of: other
definition: Types of data covered by data quality assessments
in scheme: data-quality-framework
permissible values: boolean
permissible values: categorical
permissible values: geospatial
permissible values: mixed
permissible values: modelled
permissible values: other
permissible values: qualitative
permissible values: quantitative
permissible values: semi_quantitative
permissible values: time_series

QualityScoreEnum
type: Class
union of: score_1_very_reliable
union of: score_2_reliable
union of: score_3_unreliable
union of: score_4_dubious
union of: not_evaluated
union of: not_applicable
definition: Pedigree score scale for data quality
in scheme: data-quality-framework
permissible values: not_applicable
permissible values: not_evaluated
permissible values: score_1_very_reliable
permissible values: score_2_reliable
permissible values: score_3_unreliable
permissible values: score_4_dubious

UncertaintyTranslationMethodEnum
type: Class
union of: cv_lookup
union of: uf_lookup
union of: direct_cv
union of: direct_uf
union of: lognormal_uf
union of: expert_judgement
union of: sensitivity_analysis
union of: monte_carlo
union of: not_evaluated
union of: other
definition: Methods for translating data quality into uncertainty
in scheme: data-quality-framework
permissible values: cv_lookup
permissible values: direct_cv
permissible values: direct_uf
permissible values: expert_judgement
permissible values: lognormal_uf
permissible values: monte_carlo
permissible values: not_evaluated
permissible values: other
permissible values: sensitivity_analysis
permissible values: uf_lookup

AggregationLevelEnum
type: Class
union of: value
union of: record
union of: dataset
union of: input_quantity
union of: indicator
union of: model
union of: component
union of: product
union of: material
union of: portfolio
union of: other
definition: Levels at which data quality may be aggregated
in scheme: data-quality-framework
permissible values: component
permissible values: dataset
permissible values: indicator
permissible values: input_quantity
permissible values: material
permissible values: model
permissible values: other
permissible values: portfolio
permissible values: product
permissible values: record
permissible values: value

AggregationMethodEnum
type: Class
union of: worst_score
union of: rule_based
union of: weighted_mean
union of: arithmetic_mean
union of: geometric_mean
union of: maximum_risk
union of: hierarchical
union of: expert_judgement
union of: custom
union of: not_evaluated
definition: Methods for aggregating data quality information
in scheme: data-quality-framework
permissible values: arithmetic_mean
permissible values: custom
permissible values: expert_judgement
permissible values: geometric_mean
permissible values: hierarchical
permissible values: maximum_risk
permissible values: not_evaluated
permissible values: rule_based
permissible values: weighted_mean
permissible values: worst_score

DataSourceTypeEnum
type: Class
union of: direct_measurement
union of: laboratory_test
union of: supplier_declaration
union of: administrative_record
union of: database
union of: literature
union of: expert_judgement
union of: survey_or_interview
union of: sensor_or_iot
union of: calculation_or_model
union of: mixed
union of: other
definition: Types of data sources
in scheme: data-quality-framework
permissible values: administrative_record
permissible values: calculation_or_model
permissible values: database
permissible values: direct_measurement
permissible values: expert_judgement
permissible values: laboratory_test
permissible values: literature
permissible values: mixed
permissible values: other
permissible values: sensor_or_iot
permissible values: supplier_declaration
permissible values: survey_or_interview

DiagnosticTypeEnum
type: Class
union of: comprehensive_profiling
union of: missing_data_analysis
union of: structural_integrity_validation
union of: relational_integrity_validation
union of: distributional_alignment
union of: semantic_unit_consistency
union of: temporal_spatial_alignment
union of: provenance_correlation
union of: impact_sensitivity
union of: scoring_rule_check
union of: reproducibility_check
union of: other
definition: Types of data-quality diagnostics
in scheme: data-quality-framework
permissible values: comprehensive_profiling
permissible values: distributional_alignment
permissible values: impact_sensitivity
permissible values: missing_data_analysis
permissible values: other
permissible values: provenance_correlation
permissible values: relational_integrity_validation
permissible values: reproducibility_check
permissible values: scoring_rule_check
permissible values: semantic_unit_consistency
permissible values: structural_integrity_validation
permissible values: temporal_spatial_alignment

QualityCriterionEnum
type: Class
union of: validity
union of: accuracy
union of: consistency
union of: timeliness
union of: completeness
union of: representativeness
union of: transparency
union of: provenance
union of: reproducibility
union of: precision
union of: other
definition: Data quality criteria supported by the framework
in scheme: data-quality-framework
permissible values: accuracy
permissible values: completeness
permissible values: consistency
permissible values: other
permissible values: precision
permissible values: provenance
permissible values: representativeness
permissible values: reproducibility
permissible values: timeliness
permissible values: transparency
permissible values: validity

RemediationActionTypeEnum
type: Class
union of: sampling_redesign
union of: reweighting
union of: imputation
union of: recalibration
union of: metadata_completion
union of: data_contract_enforcement
union of: unit_canonicalization
union of: source_refresh
union of: governance_agreement
union of: uncertainty_inflation
union of: quarantine
union of: rejection
union of: other
definition: Types of remediation, mitigation, or improvement actions
in scheme: data-quality-framework
permissible values: data_contract_enforcement
permissible values: governance_agreement
permissible values: imputation
permissible values: metadata_completion
permissible values: other
permissible values: quarantine
permissible values: recalibration
permissible values: rejection
permissible values: reweighting
permissible values: sampling_redesign
permissible values: source_refresh
permissible values: uncertainty_inflation
permissible values: unit_canonicalization

DataQualityEvidenceTypeEnum
type: Class
union of: diagnostic_report
union of: data_profile
union of: dataset_snapshot
union of: provenance_record
union of: metadata_record
union of: calibration_certificate
union of: traceability_record
union of: validation_report
union of: harmonization_log
union of: remediation_record
union of: workflow_record
union of: supplier_declaration
union of: standard_or_protocol
union of: other
definition: Types of evidence used to support data quality assessments
in scheme: data-quality-framework
permissible values: calibration_certificate
permissible values: data_profile
permissible values: dataset_snapshot
permissible values: diagnostic_report
permissible values: harmonization_log
permissible values: metadata_record
permissible values: other
permissible values: provenance_record
permissible values: remediation_record
permissible values: standard_or_protocol
permissible values: supplier_declaration
permissible values: traceability_record
permissible values: validation_report
permissible values: workflow_record

QualityIssueTypeEnum
type: Class
union of: missingness
union of: non_representativeness
union of: timeliness_deficit
union of: schema_drift
union of: unit_mismatch
union of: coding_mismatch
union of: calibration_gap
union of: provenance_gap
union of: method_mismatch
union of: boundary_mismatch
union of: outlier_or_anomaly
union of: duplicate_or_conflict
union of: bias
union of: invalid_value
union of: other
definition: Types of data quality issues
in scheme: data-quality-framework
permissible values: bias
permissible values: boundary_mismatch
permissible values: calibration_gap
permissible values: coding_mismatch
permissible values: duplicate_or_conflict
permissible values: invalid_value
permissible values: method_mismatch
permissible values: missingness
permissible values: non_representativeness
permissible values: other
permissible values: outlier_or_anomaly
permissible values: provenance_gap
permissible values: schema_drift
permissible values: timeliness_deficit
permissible values: unit_mismatch

data_quality_evidence_reference_value
type: DatatypeProperty
range: string
definition: Reference to supporting evidence such as a report, dataset, diagnostic output, certificate, standard, or workflow record
in scheme: data-quality-framework
owl.filler: prov:wasDerivedFrom
sql identifier: dqf_evidence_reference_value

Restriction
min cardinality: 0
on property: uncertainty_translation

Restriction
min cardinality: 0
on property: data_quality_applies_to_value_path_value

Restriction
max cardinality: 1
on property: assessor_value

Restriction
max cardinality: 1
on property: uncertainty_translation

Restriction
max cardinality: 1
on property: preprocessing_description_value

Restriction
max cardinality: 1
on property: data_type_value

Restriction
min cardinality: 0
on property: update_frequency_value

Restriction
min cardinality: 0
on property: data_characterization_identifier_value

Restriction
max cardinality: 1
on property: collection_start_date_value

Restriction
min cardinality: 0
on property: preprocessing_description_value

Restriction
min cardinality: 0
on property: technological_coverage_value