Explains data quality dimensions
https://knobit.org/id/knobit/Q-351
Also as Turtle · JSON-LD · RDF/XML · AI benchmark on Skilirium
| Context functions | Object understanding |
|---|---|
| Knobit creation methods | AI generated |
| Knobit types | Knowledge |
| LCG purposes | Assessing the learner's knowledge or skill state |
| LCG purposes | Opening up a learning outcome |
| action verb | Explains en |
| assessment criterion | Assigns sample checks to the dimension they measure en |
| assessment method | Written question with sample data quality rules en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | Q-351 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Data-management practice used by the stage 3 reference and review checklist; formerly data-modelling K-751 en |
| expected result | Completeness, uniqueness, validity, accuracy, consistency, timeliness and integrity, and what each measures en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/07-dq-rules/K-751 |
| rdfs:label | Explains data quality dimensions en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data quality management (DAMA-DMBOK2) |
| skos:definition | Completeness, uniqueness, validity, accuracy, consistency, timeliness and integrity, and what each measures. en |
| skos:prefLabel | Explains data quality dimensions en |
| target object | data quality dimension en |
Used by
| applies knowledge | Recognises a misfiled data quality dimension |
|---|---|
| depends on knobit | Explains the ISO/IEC 25012 data quality characteristics |
| includes knobit | Derives data quality rules from the data rules and the physical model |
| includes knobit | Define high quality data |
| includes knobit | Data quality dimensions |
| requires knobit | Derive data quality rules |