Explains data quality as fitness for purpose
https://knobit.org/id/knobit/Q-903
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 | Answers a CDMP-style multiple-choice question on the data quality en |
| assessment method | Multiple-choice question en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | Q-903 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | DAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, element QV-3 en |
| expected result | Data are of high quality to the degree that they meet the expectations and needs of their consumers; quality is relative to use, and the cost of poor quality (scrap, rework, lost opportunity) is the case for managing it. en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-quality/dmbok2/Q-903 |
| rdfs:label | Explains data quality as fitness for purpose en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data quality management (DAMA-DMBOK2) |
| skos:definition | Data are of high quality to the degree that they meet the expectations and needs of their consumers; quality is relative to use, and the cost of poor quality (scrap, rework, lost opportunity) is the case for managing it. en |
| skos:prefLabel | Explains data quality as fitness for purpose en |
| target object | data quality en |
Used by
| includes knobit | Define high quality data |
|---|---|
| includes knobit | Data quality |