knobit.org

Recognises a quality measurement labelled with a characteristic it does not test

edu:Knobit

https://knobit.org/id/knobit/Q-403

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Context functionsResult evaluation
Knobit creation methodsAI generated
Knobit typesSkill
LCG purposesAssessing the learner's knowledge or skill state
LCG purposesSelecting an assessment task or learning activity
action verbRecognises en
applies knowledgeExplains the ISO/IEC 25012 data quality characteristics
assessment criterionFlags the deficient case and passes the acceptable one. Deficient: QM-002 "accuracy 100%" is DQ-014 (`not null and >= 0`) Acceptable: Syntactic accuracy 100%; semantic accuracy against the repayment schedule reported separately en
assessment methodReview of the stage 4 eval project (reffa/skills, data-quality/evals) en
conforms to profilehttps://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1
dcterms:identifierQ-403
dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
dcterms:sourceReview checklist 04-profiling-assessment, row 3 (25012 (syntactic vs semantic accuracy)) en
expected resultThe characteristic the measure tests, and semantic accuracy measured separately against a reference en
owl:sameAshttps://bitbucket.org/reffa/ontology/id/knobit/data-quality/04-profiling-assessment/03
rdfs:labelRecognises a quality measurement labelled with a characteristic it does not test en
schema:creativeWorkStatusaccepted
schema:isPartOfData quality management (DAMA-DMBOK2)
skos:altLabelDimension that does not match what was measured en
skos:definitionA syntactic check reported as accuracy, or any label the measure does not test. en
skos:prefLabelRecognises a quality measurement labelled with a characteristic it does not test en
target objectmeasurement reported under a characteristic its measure does not test en

Used by

includes knobitProfiles and assesses critical data elements over stated populations
includes knobitPerform an initial data quality assessment
includes knobitData quality dimensions
requires knobitProfile and assess data quality