Root container for data quality assessments and supporting records
Remediation, mitigation, containment, or improvement actions
Reusable data quality assessments that can be embedded or referenced by other CE-RISE data models
Evidence records referenced by the data quality framework
Translations from data quality scores to uncertainty information
Quality metrics or diagnostic metrics used by profiles, criteria, or diagnostics
Data characterization records available for reuse by one or more assessments
Data quality profiles available for reuse by one or more assessments
Aggregations of data quality assessments, profiles, criteria, metrics, or uncertainty translations
Data quality issues, limitations, anomalies, or risks
Data-quality diagnostic runs, checks, or analyses
Root container for metrological traceability statements and supporting records
Assessments of whether traceability statements support meaningful comparison
Reference materials and certified reference materials used in traceability
Evidence records referenced by the metrological traceability model
Traceability chains or networks available for reuse by one or more traceability statements
Measurement standards, artefacts, instruments, and realizations used in traceability
Reference entities, standards, methods, instruments, datasets, or organizations used in traceability
Calibration, comparison, verification, or check records that support traceability
Competence, accreditation, validation, or quality system records supporting traceability
Reference bases used to establish metrological traceability
Reusable traceability statements that can be embedded or referenced by other CE-RISE data models
Boundary, goal-and-scope, scenario, or model definitions used as traceability references
Measurement, calculation, sampling, calibration, analytical, or modelling procedures used for traceability
A versioned foreground, background, or hybrid product system that can be reused as a life cycle inventory input
Description of the represented product system and intended inventory use
Activities included in the product system
Activity types used to classify product-system activities
Locations used by activities, datasets, or other product-system records
Lifecycle-stage concepts used to partition activities or flows
Reference flow specification used to scale or consume this product system
Whether this product system represents foreground, background, hybrid, or other inventory scope
Optional metrological traceability statements for system scope, reference flows, source data, units, or inventory calculation chains
Product, material, waste, elementary, service, or other flow objects used by flows
Versioned CE-RISE, external-model, dataset, or generated-artifact records used to build this product system
Version, release tag, or revision of this product system
Input and output flows included in the product system
Optional data quality assessments for product-system completeness, provenance, representativeness, interoperability, or fitness for purpose
Root container for uncertainty quantification statements and supporting records
Uncertainty budgets available for reuse by one or more uncertainty statements
Evidence records referenced by the uncertainty model
Assessments of whether uncertainty statements support meaningful comparison
Reusable uncertainty statements that can be embedded or referenced by other CE-RISE data models
Methods, standards, and protocols referenced by the uncertainty model
Propagation analyses available for reuse by one or more uncertainty statements
A foreground or background transformation, transport, market, treatment, service, or other activity in a product system
Identifier or URI of the location associated with this activity
Whether the activity is foreground, background, mixed, or otherwise declared
Optional temporal scope represented by this activity
Optional data quality assessments for activity source data, temporal coverage, geographic coverage, completeness, or representativeness
Description of the activity, process, service, or transformation represented
Identifier or URI of the flow that determines the activity level
Identifier or URI of the associated activity type
Identifier or URI of the lifecycle stage to which this activity is assigned
Identifier for this activity within the product system or its source dataset
Optional metrological traceability statements for activity scope, reference data, time, location, or calculation basis
Versioned source records, datasets, or artifacts from which this activity was derived
A type or classification of activity, such as production, transport, market, treatment, or service
Resolvable URI for an external activity-type concept, including a BONSAI classification URI
External classifications, codes, or concepts assigned to this activity type
A quantified product, waste, elementary, or other exchange that is input to or output from an activity
Optional identifier or URI of the location that applies specifically to this flow, when it differs from the activity location
Identifier or URI of the flow object consumed or produced by this flow
Versioned source records, datasets, or artifacts from which this flow was derived
Identifier for this flow exchange within the product system or its source dataset
Optional identifier or URI of the activity on the other side of this exchange, including an external background activity
Optional direction of this flow exchange as an input to or output from an activity
Classifications for this flow, including elementary-flow context or compartment when applicable
Optional metrological traceability statements for flow quantities, units, measurements, source data, or calculation chains
Identifier or URI of the activity for which this flow is an output
Identifier or URI of the activity for which this flow is an input
Optional uncertainty statements for flow quantities, estimates, distributions, or propagation inputs
Optional URI, code, or concept reference for the quantity kind or physical dimension of this flow measure
Identifier or URI of the lifecycle stage to which this flow is assigned
Optional data quality assessments for flow quantities, source data, completeness, representativeness, or comparability
Unit URI, code, or other unit reference for this flow measure
The product, material, waste, elementary, service, or other object represented by one or more flows
External classifications, codes, or concepts assigned to this flow object
Description of the object represented by associated flows
Versioned source records, model records, or datasets defining this flow object
Reference flow and quantity used to scale or consume a product system without defining a functional unit
Optional data quality assessments for this reference-unit measure, source, measurement, or estimate
Description of how this reference flow scales the product system
Optional uncertainty statements for this reference-unit measure
Optional URI, code, or concept reference for the quantity kind or physical dimension of this reference-unit measure
Numeric value of this reference-unit measure
Identifier or URI of the reference flow exchange
Optional metrological traceability statements for this reference-unit measure, unit, measurement, or calculation
Identifier or URI of the reference flow object
Unit URI, code, or other unit reference for this reference-unit measure
A location associated with an activity, dataset, or other product-system record
Resolvable URI for this location, including a BONSAI or geographic reference URI when available
Code for this location within its declared location scheme
URI or other reference for the geographic or location scheme used
A temporal scope or period represented by an activity, dataset, or product-system record
Calendar year until which the data are declared valid when a single validity year is applicable
Calendar year represented by the data when a single reference year is applicable
Description of the time period, representativeness, or temporal assumptions
Supporting evidence record for a data quality assessment, score, diagnostic, issue, remediation action, uncertainty translation, or aggregation
Date associated with supporting evidence
Provider, author, laboratory, supplier, or organization responsible for supporting evidence
Version, edition, or revision of supporting evidence
Aggregation of assessments, profiles, criterion scores, metrics, or uncertainty translations across values, records, datasets, or indicators
Weights or weighting rule used in the aggregation
Reference to supporting evidence such as a report, dataset, diagnostic output, certificate, standard, or workflow record
Rationale for the aggregation method and weighting choices
Reference to the output assessment, profile, score, uncertainty translation, or decision produced by the aggregation
Identifier for an aggregation of data quality assessments, profiles, criteria, metrics, or uncertainty translations
Method used to aggregate criterion scores or lower-level assessments into a profile
References to the input assessments, profiles, criteria, metrics, or data sources used in the aggregation
Assessment of whether two reported values are metrologically comparable through the same reference basis, measurand definition, method, or boundary
Reference to the first traceability statement, chain, or basis being compared
Rationale for the comparability decision, including relevant mismatches or limitations
Reference to an uncertainty statement, uncertainty budget, or uncertainty component associated with this traceability record
Identifier for an assessment of metrological comparability
Whether the compared results are traceable to the same reference basis
Whether the compared results use the same method-defined or boundary-defined reference
Whether the compared results use the same measurand or operational definition
Reference to the second traceability statement, chain, or basis being compared
Decision about whether the compared results are metrologically comparable
Supporting evidence record for a traceability statement, chain, calibration, method, boundary, reference material, or competence record
Single documented step in a traceability chain, including calibration, comparison, transfer, method adherence, or boundary reference
Reference entity, value, standard, method, or node from which this link starts
Reference to the uncertainty contribution associated with this traceability link
Procedure, calibration, comparison, transformation, conversion, or modelling step used in this link
Reference to supporting evidence such as a certificate, report, procedure, dataset, standard, or software record
Identifier for a step, edge, or link in a traceability chain
Reference entity, value, standard, method, or node to which this link points
Additional notes about the traceability statement
Position of the link in the traceability chain, where lower numbers are closer to the reported result
Date on which this traceability link, calibration, comparison, transformation, or modelling step was established
Role of the traceability link in the chain
Assessment of whether two uncertainty-backed values can be compared meaningfully
Reference to the second uncertainty statement in a comparison
Additional notes about the uncertainty statement
Assessment of whether traceability bases are compatible for comparison
Additional uncertainty component introduced because of comparison mismatch
Reference to the first uncertainty statement in a comparison
Identifier for a comparison assessment involving uncertainty statements
Assessment of whether method, scope, or system boundaries are compatible for comparison
Rationale for adding or expanding uncertainty because of traceability, boundary, method, or data quality mismatch
Decision on whether a direct or conditional comparison is meaningful
Correlation or covariance relationship between input quantities or uncertainty components
Correlation coefficient between two quantities
Identifier for a correlation or covariance relationship
Reference to the second quantity in a correlation or covariance relationship
Basis, evidence, or assumption used to justify a correlation or covariance
Reference to the first quantity in a correlation or covariance relationship
Name-value-unit parameter used to define a probability distribution
Unit associated with a distribution parameter
Numeric value of a distribution parameter
Name of a distribution parameter, such as mean, standard deviation, minimum, maximum, shape, or scale
Reference to supporting evidence used to define, justify, or update uncertainty
Input quantity in a measurement, calculation, or statistical model
Probability distribution describing uncertainty
Name of an input quantity in a measurement or calculation model
Standard uncertainty expressed as a standard deviation
Reference to a data quality assessment that informs or justifies an uncertainty contribution
Reference to a metrological traceability statement, chain, method, calibration, or boundary definition
Identifier for an input quantity in a measurement or calculation model
Standard uncertainty divided by the absolute value of the associated quantity value
Reference to supporting evidence such as a certificate, report, dataset, standard, or software record
Operational specification of the measurand, quantity of interest, method, conditions, and boundary
Unit in which the measurand is expressed
Environmental or procedural conditions during data acquisition
Identifier for the measurand or quantity of interest
Version, edition, date, or revision of the method used
Standardized method or protocol defining the measurand or evaluation procedure
Corrections applied to the measured or calculated value, including corrections for bias, drift, blank, recovery, or matrix effects
Measurement model, calculation model, statistical model, or equation relating inputs to the measurand
Sampling frame, location, period, state, or population basis for the measurand
System boundary, scope, or modelling boundary relevant to the measurand
Measurement, calculation, test, or modelling method used to obtain the value
Object, material matrix, product, population, or system to which the measurand applies
Reference conditions to which the reported value is corrected or intended to apply
Name of the measurand or quantity of interest
Definition of the sample, specimen, item, batch, or population subset used for the evaluation
Kind of quantity being evaluated, such as mass, length, concentration, carbon footprint, or circularity indicator
Rounding or reporting rule applied to the value and uncertainty
Operational definition of the measurand, including what is measured and under which conditions
Decision rule used for conformity assessment or comparison when uncertainty is considered
Reference to a method, guide, standard, protocol, or implementation used for uncertainty evaluation
Description of the referenced method, guide, standard, protocol, or documentation resource
URL for a method, guide, standard, protocol, or documentation resource
Reported value or estimate associated with an uncertainty statement
Textual, categorical, or structured value when the result is not represented as a simple number
Unit associated with a reported result, estimate, distribution parameter, or uncertainty quantity
Numeric value associated with a reported result, estimate, distribution parameter, or uncertainty quantity
Source of the value, such as measurement, calculation, supplier declaration, literature, or simulation
Scenario-specific uncertainty context for structural, boundary, allocation, or modelling alternatives
Identifier for a scenario used in uncertainty or robustness analysis
Optional probability or weight assigned to a scenario
Coverage interval or other interval representation of uncertainty
Boundary, scope, allocation rule, or modelling choice represented by a scenario
Description of a scenario, including the structural or boundary choice it represents
Sensitivity metric for identifying uncertainty drivers and quality hotspots
Sensitivity metric, such as Sobol index, rank correlation, derivative, or elementary effect
Whether the sensitivity result identifies a data quality or traceability hotspot
Rank of an input, parameter, or component according to sensitivity or uncertainty contribution
Input, parameter, or component assessed in a sensitivity analysis
Characterization of the assessed data, including source, provenance, scope, collection method, versioning, and preprocessing
Unit associated with a quantitative value or metric
End date for the data collection or generation period
Preprocessing, cleaning, transformation, imputation, filtering, or normalization applied before assessment
Target population, inference scope, product scope, material scope, or process scope represented by the data
Method, protocol, procedure, system, or workflow used to collect or generate the data
Identifier for the assessed data source, dataset, value source, or information source
Documented collection protocol, questionnaire, instrument, test method, API, or extraction logic
Domain or subject area of the data, such as product specification, LCA, diagnostics, compliance, or circularity
Technological, product, process, or system coverage represented by the data
Geographic coverage or spatial representativeness of the data
Start date for the data collection or generation period
Narrative provenance of the data, including who collected it, when, under which protocol, and how it was processed
Update cadence or refresh frequency for the data
Name of the assessed data source, dataset, value source, or information source
Reference to a metrological traceability statement, chain, method, calibration, or boundary definition related to this data quality assessment
Definition of the variable, field, indicator, category, or qualitative construct being assessed
Identifier for a data characterization record
Temporal coverage or period represented by the data
Harmonization, mapping, coding, unit conversion, or schema alignment applied to combine or compare data
Version, edition, revision, release date, or snapshot identifier for the assessed data
Provider, owner, custodian, supplier, laboratory, or organization responsible for the data
Sample size, number of observations, number of records, or number of contributing sources
Profile aggregating data quality criteria, scores, flags, and confidence for a dataset, value, source, or information product
Summary of the data quality profile, including main strengths and weaknesses
Operational decision flag derived from the quality profile
Confidence level implied by the data quality assessment
Human-readable name of a data quality profile
Criterion or criteria that limit the overall score, confidence, or decision flag
DQA-to-uncertainty translation associated with an assessment or profile
Overall pedigree score for the assessed data, typically from 1 very reliable to 4 dubious
Numeric quality score when the score is represented as a number
Identifier for a data quality profile aggregating one or more criterion assessments
Criterion-level assessment for a data quality dimension such as validity, accuracy, consistency, timeliness, or completeness
Threshold, rule, target, or expectation used to score the criterion
Pedigree score assigned to a quality criterion
Identifier for a criterion-level quality assessment
Metric value, observation, or diagnostic result used to support the criterion score
Weight assigned to the criterion in an aggregation or decision rule
Impact of this criterion on the intended use, uncertainty, bias, comparability, or decision
Rationale for assigning the criterion score
Numeric criterion score when the score is represented as a number
Diagnostic run or analysis that compares data against expectations, detects deviations, infers causes, and estimates impact
Impact of the diagnostic finding on the intended analysis, decision, uncertainty, or comparability
Information needed to reproduce the diagnostic run, such as pinned dependencies, configuration, hash, or workflow version
Diagnostic method, test, script, notebook, query, or procedure used
Expected value, threshold, rule, contract, baseline, or target used by the diagnostic
Plausible or confirmed cause of the observed diagnostic finding
Identifier for a diagnostic run, check, or analysis
Date and time when the diagnostic run was executed
Observed deviation from the expectation, threshold, baseline, or target
Software, notebook, workflow, configuration, or service used to execute the diagnostic
Goal-and-scope, system boundary, scenario, allocation, or model definition used as the reference for a boundary-defined result
Goal and scope definition or equivalent statement that defines the assessed value
Name of the boundary, scope, scenario, or modelling definition
Standardized procedure, protocol, guide, or method document
Allocation, partitioning, substitution, cut-off, or burden-sharing rule applied in the boundary definition
Processes, stages, flows, compartments, or elements excluded from the boundary
Reference to a data quality assessment associated with this traceability record
Identifier for a boundary, scope, scenario, or modelling reference definition
Characterization model, factor set, time horizon, scenario, or model version used to convert inputs into the reported result
Impact assessment, characterization, scoring, or calculation method used for a modelled result
Temporal, geographical, technological, or population scope of the data sources used by the boundary definition
Version, edition, revision, or publication date of the procedure
Processes, stages, flows, compartments, or elements included in the boundary
Competence, accreditation, validation, proficiency, or quality system evidence supporting traceability
End date of validity for the reference entity or assigned value
Start date of validity for the reference entity or assigned value
Identifier for a competence, accreditation, authorization, or quality system record
Scope of competence, accreditation, validation, or authorization
Accreditation, authorization, scope, or certificate identifier
Basis for competence, such as accreditation, proficiency testing, validation, authorization, or quality management system
Status of the competence or accreditation record
Accreditation body, authority, or organization responsible for the competence record
Laboratory, person, organization, facility, or software provider whose competence is documented
Measurement, calculation, sampling, calibration, analytical, or modelling procedure used to define or transfer a value
Role of the procedure in establishing traceability
Operator, laboratory, instrument system, model, or software used to apply the procedure
Environmental, operating, or procedural conditions relevant to traceability
Description of the procedure and how it defines or transfers the value
Identifier of a measurement, calculation, sampling, calibration, analytical, or modelling procedure
Key method parameters, such as extraction conditions, incubation time, temperature, calibration model, or reporting rule
Definition of the sample, specimen, item, batch, population subset, or material matrix used by the method
Measurement standard, artefact, instrument standard, or unit realization used in a calibration hierarchy
Uncertainty associated with the assigned value
Assigned value of a measurement standard, reference material, calibrator, or conventional reference
Identifier for a measurement standard, artefact, instrument standard, or realization
Unit in which the value or measurand is expressed
Position of the measurement standard in the calibration hierarchy
Owner, custodian, laboratory, or institute responsible for the measurement standard
Kind of quantity or indicator being traced, such as mass, length, concentration, carbon footprint, or circularity indicator
Generic reference entity used in a traceability statement, chain, procedure, calibration, or boundary definition
Identifier for a reference entity, material, standard, instrument, facility, method, or dataset
Provider, custodian, producer, laboratory, institute, or publisher of the reference entity
Reference material or certified reference material used to establish traceability
URL for the reference material certificate
Identifier for a reference material or certified reference material
Certified or assigned property of the reference material
Producer, supplier, or certifying body responsible for the reference material
Matrix, material, substance, artefact, or object represented by the reference material
Identifier of the reference material certificate
Lot, batch, serial number, or production identifier of the reference material
Reference basis to which a result is related, such as an SI realization, measurement standard, reference material, standard method, or boundary definition
URI or URL identifying the final common reference
Authority, organization, metrology institute, standards body, or publisher responsible for the reference
Description of the common reference basis that gives meaning to the result
Type of reference basis used to establish traceability
Date at which the reference was used to establish the traceability hierarchy
Version, edition, revision, or publication date of the reference
Identifier for a traceability basis record
Scope or field of application for the reference
Identifier for the final reference, such as an SI unit realization, standard method, reference material, system boundary definition, or characterization model
Documented chain or network relating a measurement result to a reference
Final reference reached by the traceability chain
Reference or value at the user-facing end of the traceability chain
Validation status of the traceability chain
Human-readable name of the traceability chain
Assessment of whether the chain is complete, partial, inferred, or unavailable
Additional notes about the traceability chain, including gaps or assumptions
Type or topology of the traceability chain
Ordered or networked links that make up a traceability chain
Identifier for a traceability chain or traceability network
Analysis used to propagate input uncertainties to an output uncertainty statement
Standard, guide, or protocol applied in the uncertainty evaluation
Output probability distribution produced by propagation
Date and time when an analysis was performed
Identifier for an uncertainty propagation analysis
Number of simulation runs used in a numerical uncertainty propagation
Sensitivity results identifying drivers of output uncertainty
Random seed used for a stochastic simulation, when recorded
Equation, model expression, or model reference used for propagation
Scenario-specific uncertainty results or structural alternatives
Software, workflow, script, or computational environment used for uncertainty evaluation
Statement of uncertainty components, their calculation, and their combination
Individual uncertainty components included in an uncertainty budget
Expanded uncertainty obtained by multiplying combined standard uncertainty by a coverage factor
Coverage probability associated with a coverage interval or expanded uncertainty
Method used to combine uncertainty components
Effective degrees of freedom associated with the combined uncertainty
Input quantities in the measurement or calculation model
Combined standard uncertainty obtained from the individual uncertainty components
Correlations or covariances between input quantities or components
Human-readable name of the uncertainty budget
Coverage factor used to obtain expanded uncertainty from combined standard uncertainty
Individual contribution to uncertainty from a source, input, bias, model discrepancy, scenario, or data quality limitation
Coefficient of variation used as a relative uncertainty measure
Best estimate associated with an uncertainty component
Description or name of the uncertainty source
Type of evaluation used for the uncertainty component
Sensitivity coefficient describing how the measurand responds to this input or component
Multiplicative uncertainty factor used to express a plausible range around a positive quantity
Degrees of freedom associated with an uncertainty component or estimate
Metric, indicator, diagnostic output, threshold check, or quality measurement supporting a criterion score
Category or criterion to which the quality metric belongs
Textual, categorical, or structured value of a metric, indicator, diagnostic output, or score
Human-readable name of the data quality metric
Numeric value of a metric, indicator, diagnostic output, or score
Whether the metric passes the defined threshold or expectation
Threshold, tolerance, expectation, or acceptance criterion for the metric
Identifier for a data quality metric or diagnostic metric
Method, query, diagnostic procedure, rule, or script used to compute the metric
Remediation, mitigation, containment, or improvement activity for a data quality issue
Expected score, score change, or quality improvement after remediation
Description of the remediation, mitigation, containment, or improvement activity
Lifecycle status of the remediation activity
Method or evidence used to verify that remediation was effective
Completion date for the remediation activity
Identifier for a remediation action, mitigation, containment, or improvement activity
Person, organization, team, system, or workflow responsible for remediation
Priority assigned to the remediation activity
Reusable statement describing uncertainty for a reported value, field, dataset, model output, or comparison
Operational definition of the measurand or value of interest
Identifier of a specific value object when the target model gives value-level identifiers
Slot or attribute in an external model to which this uncertainty statement applies
Class in an external model to which this uncertainty statement applies
Identifier of the external record, object, dataset, or passport entry to which this uncertainty statement applies
Name, URI, or namespace of the external data model to which this uncertainty statement applies
Reported value to which the uncertainty statement applies, when represented in this utility model
Propagation or numerical analysis used to derive an uncertainty statement
JSONPath, XPath, RDF path, or other pointer to the value to which this uncertainty statement applies
Date and time when the uncertainty statement was issued or last updated
Identifier for an uncertainty statement that can be referenced from another CE-RISE model
Lifecycle status of the uncertainty statement
Uncertainty budget used to calculate or justify an uncertainty statement
Human-readable label for the uncertainty statement
A lifecycle-stage concept used to group or partition activities and flows
A reference to an external classification, controlled vocabulary, compartment, code list, or concept
Identifier for this lifecycle-stage concept
Code for this lifecycle stage within its declared scheme
Code or notation for the classified concept
Optional ordering value for this lifecycle stage within the declared scheme
URI or other reference for the definition of this lifecycle-stage concept
Identifier or URI of a broader classification concept when applicable
Resolvable URI for the classified concept
URI or other reference for the classification scheme, vocabulary, or code list
Preferred label for this lifecycle stage
Identifier for this classification reference
Preferred label for the classified concept
URI or other reference for the lifecycle-stage scheme or standard used
A versioned reference to a CE-RISE record, external model record, dataset, or generated artifact used to create or support product-system data
Timestamp at which the source record or artifact was retrieved, extracted, or generated
Version, release tag, or revision of the source model or dataset family
Checksum or content hash for the concrete source artifact when available
Identifier for this source-record reference
URI for the source data model, ontology, schema, or dataset family
Role fulfilled by this source record in the product system
Resolvable URI for the specific source record, dataset, data package, or background activity used
Version, release tag, revision, or timestamp of the specific referenced record
Identifier of the specific source record, dataset, data package, or background activity used
URI for the concrete source artifact, export, manifest, or API response used
Reference to the query, selection rule, mapping, transformation, or extraction specification used
Identifier or name of the source data model, ontology, schema, or dataset family
Data quality issue, limitation, anomaly, or risk identified through scoring, diagnostics, provenance review, or expert assessment
Scope of the issue, such as affected fields, records, time periods, regions, suppliers, or processes
Reference to an uncertainty statement, uncertainty budget, or uncertainty component informed by this data quality assessment
Identifier for a data quality issue, limitation, anomaly, or risk
Risk statement explaining how the issue may affect the intended use, decision, or analysis
Severity or criticality of the data quality issue
Lifecycle status of the data quality issue
Root cause, suspected cause, or causal inference for the issue
Translation from data quality information into uncertainty metadata, such as coefficient of variation or uncertainty factor
Uncertainty factor derived from data quality information
Rationale explaining how data quality information was translated into uncertainty
Lower bound of coefficient of variation derived from data quality information
Method used to translate data quality information into uncertainty
Quality score used as input to the uncertainty translation
Upper bound of coefficient of variation derived from data quality information
Combined uncertainty factor after aggregating data-quality-derived uncertainty contributions
Distributional assumption used for data-quality-derived uncertainty, such as normal or lognormal
Identifier for a translation from data quality scores to uncertainty information
Combined coefficient of variation after aggregating data-quality-derived uncertainty contributions
Calibration, comparison, verification, or check record contributing to a traceability chain
Identifier of the instrument, sensor, measuring system, reference material, standard, or software item calibrated or checked
Calibration result, correction, factor, or outcome statement
Accreditation identifier, scope, or body associated with the calibration provider
Laboratory, organization, or facility that performed the calibration
Validity or acceptance status of the calibration record
Calibration method, procedure, comparison method, or protocol used
Calibration interval or recalibration frequency
URL for the calibration certificate or equivalent evidence record
Date on which the calibration was performed
Identifier for a calibration, comparison, verification, or check record
Identifier of the calibration certificate or equivalent evidence record
Interval representation of uncertainty, including coverage intervals and percentile intervals
Type of interval used to communicate uncertainty
Lower percentile used to define an interval, such as 5 for a 5th percentile bound
Upper percentile used to define an interval, such as 95 for a 95th percentile bound
Upper bound of an uncertainty interval, coverage interval, or plausible range
Lower bound of an uncertainty interval, coverage interval, or plausible range
Reusable assessment describing the quality, fitness for purpose, diagnostics, and improvement needs of data used by CE-RISE models
Overall statement of whether the data are fit for the stated purpose
Additional notes about the data quality assessment
Lifecycle status of the data quality assessment
Identifier for a data quality assessment that can be referenced from another CE-RISE model
Slot or attribute in an external model to which this data quality assessment applies
Type of data quality assessment being documented
Human-readable label for the data quality assessment
Date and time when the data quality assessment was issued or last updated
Data quality profile associated with an assessment
Name, URI, or namespace of the external data model to which this data quality assessment applies
Characterization of the assessed data and its provenance
Identifier of the external record, object, dataset, or passport entry to which this data quality assessment applies
Person, organization, system, or workflow responsible for the data quality assessment
JSONPath, XPath, RDF path, or other pointer to the value to which this data quality assessment applies
Purpose for which the data quality assessment is performed
Standard, guide, protocol, or scoring framework applied in the data quality assessment
Intended use, decision context, or analytical purpose for which data fitness is assessed
Class in an external model to which this data quality assessment applies
Reusable statement documenting the traceability basis of a measured, calculated, method-defined, or boundary-defined value
Identifier for the reported measured, calculated, or assessed value
Slot or attribute in an external model to which this traceability statement applies
Reference basis that establishes the meaning and comparability of the value
Boundary, goal-and-scope, scenario, or model definition used to define a modelled value
Date or time at which the reported result was generated, measured, calculated, or issued
Lifecycle or validity status of the traceability statement
Name of the measurand, quantity, indicator, or value of interest
Traceability chain or network that relates the result to a reference
Procedure or method used to define, obtain, transfer, or compare the value
Identifier for a metrological traceability statement that can be referenced from another CE-RISE model
Date and time when the traceability statement was issued or last updated
Operational definition of the measurand, including what is measured, calculated, or assessed
Identifier for the measurand, quantity, indicator, or value of interest
Reported value to which the traceability statement applies
JSONPath, XPath, RDF path, or other pointer to the value to which this traceability statement applies
Standard, guide, protocol, or normative document applied when establishing traceability
Identifier of the external record, object, dataset, or passport entry to which this traceability statement applies
Human-readable label for the traceability statement
Class in an external model to which this traceability statement applies
Name, URI, or namespace of the external data model to which this traceability statement applies
Probability distribution representing uncertainty for a measurand, input quantity, component, or model output
Notes about distribution choice, fitting, assumptions, or limitations
Location parameter of the probability distribution when applicable
Flexible distribution parameters, such as mean, standard deviation, minimum, maximum, shape, or scale
Identifier for a probability distribution used in the uncertainty evaluation
Standard deviation of the probability distribution
Type of probability distribution used to describe uncertainty
Scale parameter of the probability distribution when applicable
Reference to empirical samples or tabulated values used to define an empirical distribution
Upper support bound of the probability distribution
Lower support bound of the probability distribution