Explains the kinds of preventive and corrective data quality actions

https://knobit.org/id/knobit/Q-911

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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 preventive and corrective actions 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-911
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-25 en
expected result	Preventive: entry controls, training of data producers, rules defined and enforced, quality demanded from data suppliers, governance and formal change control. Corrective: automated correction, manually directed correction (reviewed before it is applied) and manual correction, each with its own risk. en
owl:sameAs	https://bitbucket.org/reffa/ontology/id/knobit/data-quality/dmbok2/Q-911
rdfs:label	Explains the kinds of preventive and corrective data quality actions en
schema:creativeWorkStatus	accepted
schema:isPartOf	Data quality management (DAMA-DMBOK2)
skos:definition	Preventive: entry controls, training of data producers, rules defined and enforced, quality demanded from data suppliers, governance and formal change control. Corrective: automated correction, manually directed correction (reviewed before it is applied) and manual correction, each with its own risk. en
skos:prefLabel	Explains the kinds of preventive and corrective data quality actions en
target object	preventive and corrective actions en

Used by

includes knobit	Preventive and corrective actions