knobit.org

Explains the goals and principles of data quality management

edu:Knobit

https://knobit.org/id/knobit/Q-902

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Context functionsObject understanding
Knobit creation methodsAI generated
Knobit typesKnowledge
LCG purposesAssessing the learner's knowledge or skill state
LCG purposesOpening up a learning outcome
action verbExplains en
assessment criterionAnswers a CDMP-style multiple-choice question on the principles of data quality management en
assessment methodMultiple-choice question en
conforms to profilehttps://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1
dcterms:identifierQ-902
dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, element QV-2 en
expected resultMaking data fit for purpose by a managed approach: criticality first, management across the data lifecycle, prevention over correction, remediation at the root cause, governance, standards, objective measurement and transparency, quality embedded in business processes, and service levels. en
owl:sameAshttps://bitbucket.org/reffa/ontology/id/knobit/data-quality/dmbok2/Q-902
rdfs:labelExplains the goals and principles of data quality management en
schema:creativeWorkStatusaccepted
schema:isPartOfData quality management (DAMA-DMBOK2)
skos:definitionMaking data fit for purpose by a managed approach: criticality first, management across the data lifecycle, prevention over correction, remediation at the root cause, governance, standards, objective measurement and transparency, quality embedded in business processes, and service levels. en
skos:prefLabelExplains the goals and principles of data quality management en
target objectprinciples of data quality management en

Used by

includes knobitGoals and principles