Table 2:
Data Quality Ontology - Measure Detail
| Concept | Definition | References / Synonyms |
|---|---|---|
| CorrectnessMeasure | ||
| RepresentationIntegrity | Aspects of the Representation that reassure that data was not corrupted or subject to data entry errors. | Correctness: Credibility of source6, Accuracy: …free of error11, Integrity18, Repeatability18, Structural Consistency23 |
| RelativeCorrectness | Assesses the quality of a Representation by comparing it to its counterpart in another Dataset which is a “relative standard”, computed as PPV. | Accuracy: …conformity with actual value6, Correctness13, Believability11, Validity13,19, Comparability20,21, Accuracy10,13,18,23, Corrections made13, Errors13, Misleading13, PPV13, Quality13 |
| RepresentationCorrectness | A correct Representation has high accuracy and is complete. | Correctness: …accuracy and completeness6, Accuracy20,21 |
| Reliability | The data is correct and suitable for the Task. | Reliability6,18–20, Accuracy: Measurement Error22 |
| ConsistencyMeasure | ||
| RepresentationConsistency | The data is a valid value and format for its Data Value Type and all of the Representations for the same information have the same values. | Consistency: …values and physical representation of data6, Concordance13, Format11, Internal Consistency18, Consistency13, Precision20, Format11,20, Reliability13, Variation13, Accuracy: Edit and Imputation22, Representational Consistency10 |
| DomainConsistency | Concepts in the Domain are represented in the data and the data satisfies syntactic and semantic rules. Constraints for the Domain are satisfied. | Accuracy: Refers to values and representation6, Correctness: …format and types are valid6, Plausibility13, Believability10,13, Relational Integrity Rules11, Consistency18–20, Measure validity21, Accuracy13, Trustworthiness13, Validity13,23 |
| CodingConsistency | Representations that are of coded text data type must be correctly mapped to an enumerated list or a terminology. | Consistency: …codes/terms…mapped to a reference terminology6, Valid values11, Comparability: Equivalency22, Semantic Consistency23 |
| DomainMetadata | Meta-data exists to describe the Domain and it is logically consistent. | Methodological Clarity19, Metadata Documentation18, Comparability: Data dictionary standards22, Interpretability10 |
| CompletenessMeasure | ||
| RepresentationComplete | Domain independent extent to which data is not missing. | Completeness: …information is not missing6, Completion19, Completeness18,21, Accuracy: Item Non-22 |
| DomainComplete | The extent to which information is present or absent as expected. | Appropriate amount of data: Data are present or absent as expected13, Optionality11, Content20 |
| RelativeCompleteness | The extent to which a truth about the world is represented in the data. This is computed as sensitivity relative to another Dataset. | Completeness: Is a truth…in the EHR?13, Accessibility10,13,19, Accuracy13, Availability13, Missingness13, Omission13, Presence13, Quality13, Rate of Recording13, Sensitivity13, Validity13 |
| Sufficiency | The data has sufficient Representations along a given dimension (i.e. time, patient, encounter) to perform the Task. | Completeness: …sufficient breadth and depth for the task6, Appropriate amount of data11, Representativeness18, Sufficiency20, Accuracy: Coverage22, Granularity11,18, Continuity11, Level of Detail20, Completeness10,23, Precision23 |
| DomainCoverage | The data can represent the values and concepts required by the Domain. | Completeness: …represent every meaningful state of the […] real world6, Completeness: All values for a variable are recorded6, Coverage19, Completeness20 |
| TaskCoverage | The data contains all of the information required by the Task. | Completeness: …depict every possible state of the task6, Usableness18,20, Usability18, Utility18, Importance20, Usefulness20, Value-added10 |
| Flexibility | The extent to which the data is sufficient to be used by many Tasks. | Consistency: …information…appl[ies] to different tasks6, Flexibility10,20, Relevance: Adaptability22 |
| Relevance | The data is sufficient for the Task and conforms to the Domain. | Relevance6,18,20,23, Relevance: Value22, Relevancy10 |
| CurrencyMeasure | ||
| RepresentationCurrent | Calculation for time difference between when an observation was made and when it was entered into the system. | Timeliness: delay between a change of the real-world state and…the information system6, Currency13,18,23, Timeliness13,18,20, Up-datedness18, Recency13 |
| DatasetCurrent | Time difference between when a Dataset was updated and when it was made available. For example, periodic updates to a repository. | Timeliness: …availability of output is on time6, Opportunity19, Periodicity18, Currency11,20, Timeliness: Data currency22, Timeliness10 |
| TaskCurrency | The Data is sufficiently up-to-date for the requirements of the Task. | Timeliness: …information is up to date for task6, Timeliness: …age of the data is appropriate for the task11, Timeliness (external)20 |