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Data quality management (DAMA-DMBOK2)

schema:Dataset

https://knobit.org/id/register/data-quality

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LCG purposesAssessing the learner's knowledge or skill state
LCG purposesOpening up a learning outcome
LCG purposesSelecting an assessment task or learning activity
dcterms:descriptionRecognising defects in data quality deliverables - the DQ strategy, critical data elements, data rules and the data quality rules that check them, profiling and assessment results, root cause analyses, issue logs, service levels and scorecards - and explaining the practice they rest on: the competence the data-quality skill applies, and that skill-tests assesses. en
dcterms:identifierSCOPE-1
dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
dcterms:rightsCopyright 2026 Peep Küngas. Licensed under CC BY 4.0.
dcterms:titleData quality management (DAMA-DMBOK2) en
schema:licensehttps://creativecommons.org/licenses/by/4.0/
skos:noteaudience: Data quality analysts and managers, data owners and stewards, and AI models assessed by skill-tests en
skos:notedomain: Data management, data quality management (DAMA-DMBOK2 chapter 13) en
skos:notelevel: CDMP Practitioner: the Data Quality specialist exam (DAMA International) en

Items and references

dq-strategy C1a: goal of 99% quality across all data retired as serving no driver and no use edu:Question

https://knobit.org/id/register/data-quality#QI-050

dcterms:identifierQI-050
rdfs:labeldq-strategy C1a: goal of 99% quality across all data retired as serving no driver and no use en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a data quality goal with no business driver, Explains data quality as fitness for purpose

dq-strategy C1b: depositor data goal given a measure, threshold and date before the DGS file edu:Question

https://knobit.org/id/register/data-quality#QI-051

dcterms:identifierQI-051
rdfs:labeldq-strategy C1b: depositor data goal given a measure, threshold and date before the DGS file en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a data quality goal with no measure or date

dq-strategy C1c: goal tied to the DMO tooling plan, a means and not a business driver edu:Question

https://knobit.org/id/register/data-quality#QI-052

dcterms:identifierQI-052
rdfs:labeldq-strategy C1c: goal tied to the DMO tooling plan, a means and not a business driver en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains data quality goals tied to business drivers, Explains the business drivers of data quality management

dq-strategy C1d: arrears goal measured by a rule-pass average replaced by a measure of the arrears status edu:Question

https://knobit.org/id/register/data-quality#QI-053

dcterms:identifierQI-053
rdfs:labeldq-strategy C1d: arrears goal measured by a rule-pass average replaced by a measure of the arrears status en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains the characteristics of effective data quality metrics

dq-strategy C2a: scope of all data given an order, regulatory obligations first edu:Question

https://knobit.org/id/register/data-quality#QI-054

dcterms:identifierQI-054
rdfs:labeldq-strategy C2a: scope of all data given an order, regulatory obligations first en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises a data quality programme scope with no priorities

dq-strategy C2b: DQ team accountability moved to the domain data owners with escalation to the council edu:Question

https://knobit.org/id/register/data-quality#QI-055

dcterms:identifierQI-055
rdfs:labeldq-strategy C2b: DQ team accountability moved to the domain data owners with escalation to the council en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises data quality accountability given to the DQ team

dq-strategy C3a: measure-and-dashboard cycle closed through analysis, issues and control to a changed process edu:Question

https://knobit.org/id/register/data-quality#QI-056

dcterms:identifierQI-056
rdfs:labeldq-strategy C3a: measure-and-dashboard cycle closed through analysis, issues and control to a changed process en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2.5 points)
solvable withset of Recognises a data quality framework with no route to improvement

dq-strategy C3b: ISO 8000-110 (master data exchange) cited as the process model replaced by ISO 8000-61 edu:Question

https://knobit.org/id/register/data-quality#QI-057

dcterms:identifierQI-057
rdfs:labeldq-strategy C3b: ISO 8000-110 (master data exchange) cited as the process model replaced by ISO 8000-61 en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2.5 points)
solvable withset of Explains the parts of the ISO 8000 data quality standard

dq-strategy C3c: processes set to ISO 8000-61 planning, control, assurance and improvement edu:Question

https://knobit.org/id/register/data-quality#QI-058

dcterms:identifierQI-058
rdfs:labeldq-strategy C3c: processes set to ISO 8000-61 planning, control, assurance and improvement en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2.5 points)
solvable withset of Explains the ISO 8000-61 data quality management process reference model

dq-strategy C3d: warehouse corrections replaced by correction and prevention at the source edu:Question

https://knobit.org/id/register/data-quality#QI-059

dcterms:identifierQI-059
rdfs:labeldq-strategy C3d: warehouse corrections replaced by correction and prevention at the source en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2.5 points)
solvable withset of Explains the goals and principles of data quality management, Explains the kinds of preventive and corrective data quality actions

dq-strategy I1a: roadmap item with no owner or funding given the customer data owner and the DGS budget line edu:Question

https://knobit.org/id/register/data-quality#QI-060

dcterms:identifierQI-060
rdfs:labeldq-strategy I1a: roadmap item with no owner or funding given the customer data owner and the DGS budget line en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises a data quality roadmap item with no owner or funding

dq-strategy I1b: system change funded from a run budget with no change capacity moved to the change backlog edu:Question

https://knobit.org/id/register/data-quality#QI-061

dcterms:identifierQI-061
rdfs:labeldq-strategy I1b: system change funded from a run budget with no change capacity moved to the change backlog en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains a funded data quality roadmap

dq-strategy I1c: preventive onboarding item added for the named cause of duplicate depositors edu:Question

https://knobit.org/id/register/data-quality#QI-062

dcterms:identifierQI-062
rdfs:labeldq-strategy I1c: preventive onboarding item added for the named cause of duplicate depositors en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains the common causes of data quality issues, Explains the kinds of preventive and corrective data quality actions

dq-strategy I2a: skipped readiness assessment planned before the roadmap commits edu:Question

https://knobit.org/id/register/data-quality#QI-063

dcterms:identifierQI-063
rdfs:labeldq-strategy I2a: skipped readiness assessment planned before the roadmap commits en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains the readiness and risk assessment for a data quality programme

dq-strategy I2b: no-change claim replaced by training and DQ duties in role descriptions edu:Question

https://knobit.org/id/register/data-quality#QI-064

dcterms:identifierQI-064
rdfs:labeldq-strategy I2b: no-change claim replaced by training and DQ duties in role descriptions en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains the organisational and cultural change a data quality programme needs

dq-strategy I2c: policy approved through governance with roles, controls and escalation edu:Question

https://knobit.org/id/register/data-quality#QI-065

dcterms:identifierQI-065
rdfs:labeldq-strategy I2c: policy approved through governance with roles, controls and escalation en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains the content of a data quality policy

dq-strategy I2d: vanity programme metrics replaced by quality, issue, service level and value metrics edu:Question

https://knobit.org/id/register/data-quality#QI-066

dcterms:identifierQI-066
rdfs:labeldq-strategy I2d: vanity programme metrics replaced by quality, issue, service level and value metrics en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains the metrics of a data quality programme

dq-strategy I3a: dimensions defined once from a published framework edu:Question

https://knobit.org/id/register/data-quality#QI-067

dcterms:identifierQI-067
rdfs:labeldq-strategy I3a: dimensions defined once from a published framework en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1.5 points)
solvable withset of Explains the published frameworks of data quality dimensions

dq-strategy I3b: completeness-only rules extended with uniqueness and consistency for the goals edu:Question

https://knobit.org/id/register/data-quality#QI-068

dcterms:identifierQI-068
rdfs:labeldq-strategy I3b: completeness-only rules extended with uniqueness and consistency for the goals en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1.5 points)
solvable withset of Explains the types of data quality business rules

dq-strategy I3c: day-on-day alert replaced by statistical process control edu:Question

https://knobit.org/id/register/data-quality#QI-069

dcterms:identifierQI-069
rdfs:labeldq-strategy I3c: day-on-day alert replaced by statistical process control en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1.5 points)
solvable withset of Explains statistical process control for data quality

dq-strategy I4a: per-team SQL checks replaced by shared check and audit modules edu:Question

https://knobit.org/id/register/data-quality#QI-070

dcterms:identifierQI-070
rdfs:labeldq-strategy I4a: per-team SQL checks replaced by shared check and audit modules en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (1 points)
solvable withset of Explains reusable quality check and audit code modules

dq-strategy I4b: rules and results moved from spreadsheets to the metadata repository edu:Question

https://knobit.org/id/register/data-quality#QI-071

dcterms:identifierQI-071
rdfs:labeldq-strategy I4b: rules and results moved from spreadsheets to the metadata repository en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (1 points)
solvable withset of Explains the role of metadata in data quality, Explains the categories of data quality tools

dq-critical-data-elements C1a: LCR return input missing from the CDE list edu:Question

https://knobit.org/id/register/data-quality#QI-150

dcterms:identifierQI-150
rdfs:labeldq-critical-data-elements C1a: LCR return input missing from the CDE list en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a regulatory return input missing from the critical data elements

dq-critical-data-elements C1b: CDE no use depends on retired edu:Question

https://knobit.org/id/register/data-quality#QI-151

dcterms:identifierQI-151
rdfs:labeldq-critical-data-elements C1b: CDE no use depends on retired en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a critical data element with no dependent use

dq-critical-data-elements C1c: table chosen as a CDE replaced by the columns the uses read edu:Question

https://knobit.org/id/register/data-quality#QI-152

dcterms:identifierQI-152
rdfs:labeldq-critical-data-elements C1c: table chosen as a CDE replaced by the columns the uses read en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a critical data element chosen above element level

dq-critical-data-elements C2a: CDE with no owner edu:Question

https://knobit.org/id/register/data-quality#QI-153

dcterms:identifierQI-153
rdfs:labeldq-critical-data-elements C2a: CDE with no owner en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises a critical data element with no owner

dq-critical-data-elements C2b: team mailbox as CDE owner replaced by a role edu:Question

https://knobit.org/id/register/data-quality#QI-154

dcterms:identifierQI-154
rdfs:labeldq-critical-data-elements C2b: team mailbox as CDE owner replaced by a role en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Explains ownership of a critical data element

dq-critical-data-elements C3a: CDE with no authoritative source edu:Question

https://knobit.org/id/register/data-quality#QI-155

dcterms:identifierQI-155
rdfs:labeldq-critical-data-elements C3a: CDE with no authoritative source en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises a critical data element with no authoritative source

dq-critical-data-elements C3b: warehouse copy named as the authoritative source edu:Question

https://knobit.org/id/register/data-quality#QI-156

dcterms:identifierQI-156
rdfs:labeldq-critical-data-elements C3b: warehouse copy named as the authoritative source en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Explains the authoritative source of a data element

dq-critical-data-elements I1: rationale naming no use restated as the use edu:Question

https://knobit.org/id/register/data-quality#QI-157

dcterms:identifierQI-157
rdfs:labeldq-critical-data-elements I1: rationale naming no use restated as the use en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (1 points)
solvable withset of Recognises a criticality rationale naming no use

dq-critical-data-elements I2a: BCBS 239 scope beyond credit risk edu:Question

https://knobit.org/id/register/data-quality#QI-158

dcterms:identifierQI-158
rdfs:labeldq-critical-data-elements I2a: BCBS 239 scope beyond credit risk en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains the BCBS 239 principles

dq-critical-data-elements I2b: BCBS 239 principle each anomaly bears on edu:Question

https://knobit.org/id/register/data-quality#QI-159

dcterms:identifierQI-159
rdfs:labeldq-critical-data-elements I2b: BCBS 239 principle each anomaly bears on en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains the BCBS 239 principles

dq-critical-data-elements I3a: selection from the data rejected for selection from the uses edu:Question

https://knobit.org/id/register/data-quality#QI-160

dcterms:identifierQI-160
rdfs:labeldq-critical-data-elements I3a: selection from the data rejected for selection from the uses en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Explains selecting critical data elements from their uses

dq-critical-data-elements I3b: every input of every use ticked off against the CDE list edu:Question

https://knobit.org/id/register/data-quality#QI-161

dcterms:identifierQI-161
rdfs:labeldq-critical-data-elements I3b: every input of every use ticked off against the CDE list en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Explains selecting critical data elements from their uses

Sample and population edu:Question

https://knobit.org/id/register/data-quality#QI-1801

dcterms:identifierQI-1801
rdfs:labelSample and population en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:text100 randomly chosen Tallinn upper-secondary students were surveyed to study the opinion of Estonian upper-secondary students. What is the population here? (a) the 100 respondents; (b) all Tallinn upper-secondary students; (c) all Estonian upper-secondary students; (d) one random upper-secondary student en
solvable withset of Defines the concepts of sample and population

Arithmetic mean edu:Question

https://knobit.org/id/register/data-quality#QI-1802

dcterms:identifierQI-1802
rdfs:labelArithmetic mean en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:textThe arithmetic mean of the numbers 4, 6 and 11 is: (a) 6; (b) 7; (c) 21; (d) 5 en
solvable withset of Explains the concept of the arithmetic mean

Meaning of union and intersection edu:Question

https://knobit.org/id/register/data-quality#QI-1803

dcterms:identifierQI-1803
rdfs:labelMeaning of union and intersection en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:textWhich statement describes the intersection of sets A and B? (a) the elements that belong to A or to B; (b) the elements that belong to both A and B; (c) the elements that belong to A but not to B; (d) the number of elements of A and B together en
solvable withset of Explains the meaning of the set operations union and intersection

Meaning of a percentage edu:Question

https://knobit.org/id/register/data-quality#QI-1804

dcterms:identifierQI-1804
rdfs:labelMeaning of a percentage en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:text25% of the whole is: (a) 1/25; (b) 1/4; (c) 2.5 per whole; (d) 1/2 en
solvable withset of Explains the concept of a percentage

Function (dependency, argument, value of the function) edu:Question

https://knobit.org/id/register/data-quality#QI-1805

dcterms:identifierQI-1805
rdfs:labelFunction (dependency, argument, value of the function) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:textWhich example describes a dependency in which each value of the argument corresponds to one value of the function? (a) height and weight of the whole class on one day; (b) the length of a side of a rectangle and its area, when the other side is 5; (c) one person's height and their favourite numbers; (d) two arbitrary numbers en
solvable withset of Explains a function as a dependency between two variables

Negation, conjunction, disjunction edu:Question

https://knobit.org/id/register/data-quality#QI-1806

dcterms:identifierQI-1806
rdfs:labelNegation, conjunction, disjunction en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:textIf proposition A is true and B is false, then (a) A and B is true; (b) A or B is true; (c) not A is true; (d) A or B is false en
solvable withset of Explains the meaning of negation, conjunction and disjunction

Pooled accuracy rate over two loan books edu:Question

https://knobit.org/id/register/data-quality#QI-1901

dcterms:identifierQI-1901
rdfs:labelPooled accuracy rate over two loan books en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:learningResourceTypemultiple_choice
schema:textDays past due is accurate for 99.6% of 50,000 original-book loans and for 90% of 8,000 migrated loans. What is the accuracy over all loans? (a) about 98.3%; (b) 94.8%; (c) 99.6%; (d) 90% en
solvable withset of Explains a pooled rate as the weighted mean of its population rates

data-rules C1: contradiction reported edu:Question

https://knobit.org/id/register/data-quality#QI-201

dcterms:identifierQI-201
rdfs:labeldata-rules C1: contradiction reported en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (1 points)
solvable withset of Recognises contradicting data rules

data-rules C2a: uniqueness with no unique constraint edu:Question

https://knobit.org/id/register/data-quality#QI-202

dcterms:identifierQI-202
rdfs:labeldata-rules C2a: uniqueness with no unique constraint en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a uniqueness rule with no unique key behind it

data-rules C2b: mandatory rule on a nullable column with legacy nulls edu:Question

https://knobit.org/id/register/data-quality#QI-203

dcterms:identifierQI-203
rdfs:labeldata-rules C2b: mandatory rule on a nullable column with legacy nulls en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a constraint claimed by a rule and missing from the schema, Recognises a constraint deferred without a check

data-rules C2c: dq-check rule cited by no check edu:Question

https://knobit.org/id/register/data-quality#QI-204

dcterms:identifierQI-204
rdfs:labeldata-rules C2c: dq-check rule cited by no check en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a rule assigned to a missing data quality check

data-rules C3a: activity and party rules reclassified edu:Question

https://knobit.org/id/register/data-quality#QI-205

dcterms:identifierQI-205
rdfs:labeldata-rules C3a: activity and party rules reclassified en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (1 points)
solvable withset of Recognises an activity or party rule claimed as a data rule

data-rules C5: definitional rule reclassified edu:Question

https://knobit.org/id/register/data-quality#QI-206

dcterms:identifierQI-206
rdfs:labeldata-rules C5: definitional rule reclassified en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC5 (0.5 points)
solvable withset of Recognises a definitional rule filed as operative

data-rules I1a: redundant rule retired edu:Question

https://knobit.org/id/register/data-quality#QI-207

dcterms:identifierQI-207
rdfs:labeldata-rules I1a: redundant rule retired en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Retires a superseded register entry instead of deleting it, Recognises redundant data rules

data-rules I1b: subsumption decided edu:Question

https://knobit.org/id/register/data-quality#QI-208

dcterms:identifierQI-208
rdfs:labeldata-rules I1b: subsumption decided en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises a data rule implied by another

data-rules I2a: duplicate fact types merged edu:Question

https://knobit.org/id/register/data-quality#QI-209

dcterms:identifierQI-209
rdfs:labeldata-rules I2a: duplicate fact types merged en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Retires a superseded register entry instead of deleting it, Recognises one relationship stated as two fact types

data-rules I2b: overlapping value sets reported edu:Question

https://knobit.org/id/register/data-quality#QI-210

dcterms:identifierQI-210
rdfs:labeldata-rules I2b: overlapping value sets reported en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises overlapping value-set rules on one fact type

data-rules I3: circular derivation broken edu:Question

https://knobit.org/id/register/data-quality#QI-211

dcterms:identifierQI-211
rdfs:labeldata-rules I3: circular derivation broken en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1 points)
solvable withset of Recognises circular derivation rules

data-rules I4a: partition gap reported edu:Question

https://knobit.org/id/register/data-quality#QI-212

dcterms:identifierQI-212
rdfs:labeldata-rules I4a: partition gap reported en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (2 points)
solvable withset of Recognises a gap in a partition of cases

data-rules I4b: state-transition rule given a mechanism edu:Question

https://knobit.org/id/register/data-quality#QI-213

dcterms:identifierQI-213
rdfs:labeldata-rules I4b: state-transition rule given a mechanism en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (2 points)
solvable withset of Recognises a data-update rule with no enforcing or detecting mechanism

data-rules I5: clashing modality resolved edu:Question

https://knobit.org/id/register/data-quality#QI-214

dcterms:identifierQI-214
rdfs:labeldata-rules I5: clashing modality resolved en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI5 (1 points)
solvable withset of Recognises a fact type with clashing modalities

data-rules I6a: pronoun resolved edu:Question

https://knobit.org/id/register/data-quality#QI-215

dcterms:identifierQI-215
rdfs:labeldata-rules I6a: pronoun resolved en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI6 (2 points)
solvable withset of Recognises an ambiguous pronoun in a rule statement

data-rules I6a: and-or precedence resolved edu:Question

https://knobit.org/id/register/data-quality#QI-216

dcterms:identifierQI-216
rdfs:labeldata-rules I6a: and-or precedence resolved en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI6 (2 points)
solvable withset of Recognises mixed and-or without precedence in a rule

data-rules I6b: one-directional rule completed edu:Question

https://knobit.org/id/register/data-quality#QI-217

dcterms:identifierQI-217
rdfs:labeldata-rules I6b: one-directional rule completed en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI6 (2 points)
solvable withset of Recognises a cardinality rule stated from one end only

data-rules Q1: identifiers permanent edu:Question

https://knobit.org/id/register/data-quality#QI-218

dcterms:identifierQI-218
rdfs:labeldata-rules Q1: identifiers permanent en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (1 points)
solvable withset of Retires a superseded register entry instead of deleting it

data-rules C4: contradiction resolved by its missing condition edu:Question

https://knobit.org/id/register/data-quality#QI-219

dcterms:identifierQI-219
rdfs:labeldata-rules C4: contradiction resolved by its missing condition en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC4 (1 points)
solvable withset of Resolves contradicting rules by adding the missing condition

data-rules C6: deontic rule reclassified edu:Question

https://knobit.org/id/register/data-quality#QI-220

dcterms:identifierQI-220
rdfs:labeldata-rules C6: deontic rule reclassified en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC6 (0.5 points)
solvable withset of Recognises an operative rule filed as definitional

dq-sbvr-rule-anomalies C1a: foreign key on Delta Lake not trusted as enforcement edu:Question

https://knobit.org/id/register/data-quality#QI-250

dcterms:identifierQI-250
rdfs:labeldq-sbvr-rule-anomalies C1a: foreign key on Delta Lake not trusted as enforcement en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains rule enforcement mechanisms and platform enforcement

dq-sbvr-rule-anomalies C1b: change-over-time rule classified as data-update with a mechanism edu:Question

https://knobit.org/id/register/data-quality#QI-251

dcterms:identifierQI-251
rdfs:labeldq-sbvr-rule-anomalies C1b: change-over-time rule classified as data-update with a mechanism en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains Witt's classification of business rules, Explains rule enforcement mechanisms and platform enforcement

dq-sbvr-rule-anomalies C1c: enforced PostgreSQL foreign key and Delta CHECK kept as constraints edu:Question

https://knobit.org/id/register/data-quality#QI-252

dcterms:identifierQI-252
rdfs:labeldq-sbvr-rule-anomalies C1c: enforced PostgreSQL foreign key and Delta CHECK kept as constraints en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains rule enforcement mechanisms and platform enforcement

dq-sbvr-rule-anomalies C2a: reversed interest rate dependency restated edu:Question

https://knobit.org/id/register/data-quality#QI-253

dcterms:identifierQI-253
rdfs:labeldq-sbvr-rule-anomalies C2a: reversed interest rate dependency restated en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Explains functional dependency

dq-sbvr-rule-anomalies C2b: non-minimal rate key narrowed to the candidate key edu:Question

https://knobit.org/id/register/data-quality#QI-254

dcterms:identifierQI-254
rdfs:labeldq-sbvr-rule-anomalies C2b: non-minimal rate key narrowed to the candidate key en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Explains candidate key and prime attribute

dq-sbvr-rule-anomalies C3a: joint account maximum of two holders edu:Question

https://knobit.org/id/register/data-quality#QI-255

dcterms:identifierQI-255
rdfs:labeldq-sbvr-rule-anomalies C3a: joint account maximum of two holders en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Explains relationship cardinality and optionality

dq-sbvr-rule-anomalies C3b: customer side made optional edu:Question

https://knobit.org/id/register/data-quality#QI-256

dcterms:identifierQI-256
rdfs:labeldq-sbvr-rule-anomalies C3b: customer side made optional en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Explains relationship cardinality and optionality

dq-sbvr-rule-anomalies I1a: missing derivation input added edu:Question

https://knobit.org/id/register/data-quality#QI-257

dcterms:identifierQI-257
rdfs:labeldq-sbvr-rule-anomalies I1a: missing derivation input added en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains derivation rules and their dependencies

dq-sbvr-rule-anomalies I1b: derived value no longer required as keyed input edu:Question

https://knobit.org/id/register/data-quality#QI-258

dcterms:identifierQI-258
rdfs:labeldq-sbvr-rule-anomalies I1b: derived value no longer required as keyed input en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains derivation rules and their dependencies

dq-sbvr-rule-anomalies I2a: equivalent rules under different operators merged edu:Question

https://knobit.org/id/register/data-quality#QI-259

dcterms:identifierQI-259
rdfs:labeldq-sbvr-rule-anomalies I2a: equivalent rules under different operators merged en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains logical relations between rules

dq-sbvr-rule-anomalies I2b: overlapping maturity band boundary resolved edu:Question

https://knobit.org/id/register/data-quality#QI-260

dcterms:identifierQI-260
rdfs:labeldq-sbvr-rule-anomalies I2b: overlapping maturity band boundary resolved en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains partitions of a concept into cases

dq-sbvr-rule-anomalies I3a: characteristic fact type corrected to categorization edu:Question

https://knobit.org/id/register/data-quality#QI-261

dcterms:identifierQI-261
rdfs:labeldq-sbvr-rule-anomalies I3a: characteristic fact type corrected to categorization en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Explains SBVR fact types and rule statements

dq-sbvr-rule-anomalies I3b: alethic operator on an operative rule corrected edu:Question

https://knobit.org/id/register/data-quality#QI-262

dcterms:identifierQI-262
rdfs:labeldq-sbvr-rule-anomalies I3b: alethic operator on an operative rule corrected en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Explains alethic and deontic modality of rules

dq-sbvr-rule-anomalies I4a: pronoun with two referents resolved edu:Question

https://knobit.org/id/register/data-quality#QI-263

dcterms:identifierQI-263
rdfs:labeldq-sbvr-rule-anomalies I4a: pronoun with two referents resolved en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (1 points)
solvable withset of Explains referential and logical ambiguity in natural-language statements

dq-sbvr-rule-anomalies I4b: negation and or scope resolved edu:Question

https://knobit.org/id/register/data-quality#QI-264

dcterms:identifierQI-264
rdfs:labeldq-sbvr-rule-anomalies I4b: negation and or scope resolved en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (1 points)
solvable withset of Explains referential and logical ambiguity in natural-language statements

dq-sbvr-rule-anomalies Q1: reused rule id restored and retired edu:Question

https://knobit.org/id/register/data-quality#QI-265

dcterms:identifierQI-265
rdfs:labeldq-sbvr-rule-anomalies Q1: reused rule id restored and retired en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (1 points)
solvable withset of Explains persistent identifiers

dq-rules C1a: dq-check rule cited by no check edu:Question

https://knobit.org/id/register/data-quality#QI-301

dcterms:identifierQI-301
rdfs:labeldq-rules C1a: dq-check rule cited by no check en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises a rule assigned to a missing data quality check

dq-rules C1b: unenforced unique constraint unchecked edu:Question

https://knobit.org/id/register/data-quality#QI-302

dcterms:identifierQI-302
rdfs:labeldq-rules C1b: unenforced unique constraint unchecked en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises a declared constraint the target platform does not enforce

dq-rules C1c: derived column unchecked edu:Question

https://knobit.org/id/register/data-quality#QI-303

dcterms:identifierQI-303
rdfs:labeldq-rules C1c: derived column unchecked en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises a derived or copied column without a check

dq-rules C1d and C1e: version overlap and one-current unchecked edu:Question

https://knobit.org/id/register/data-quality#QI-304

dcterms:identifierQI-304
rdfs:labeldq-rules C1d and C1e: version overlap and one-current unchecked en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises history kept without its constraints checked

dq-rules C1f: state-transition rule undetected edu:Question

https://knobit.org/id/register/data-quality#QI-305

dcterms:identifierQI-305
rdfs:labeldq-rules C1f: state-transition rule undetected en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises a data-update rule with no enforcing or detecting mechanism

dq-rules C1g: check unable to fail edu:Question

https://knobit.org/id/register/data-quality#QI-306

dcterms:identifierQI-306
rdfs:labeldq-rules C1g: check unable to fail en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises a check unable to fail

dq-rules C1h: check with no rule edu:Question

https://knobit.org/id/register/data-quality#QI-307

dcterms:identifierQI-307
rdfs:labeldq-rules C1h: check with no rule en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (4 points)
solvable withset of Recognises a check with no rule behind it

dq-rules C2a: check on the wrong column edu:Question

https://knobit.org/id/register/data-quality#QI-308

dcterms:identifierQI-308
rdfs:labeldq-rules C2a: check on the wrong column en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a check on the wrong object

dq-rules C2b: check weaker than its rule edu:Question

https://knobit.org/id/register/data-quality#QI-309

dcterms:identifierQI-309
rdfs:labeldq-rules C2b: check weaker than its rule en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a check weaker than its rule

dq-rules C2c: wrong population edu:Question

https://knobit.org/id/register/data-quality#QI-310

dcterms:identifierQI-310
rdfs:labeldq-rules C2c: wrong population en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a check measuring the wrong population

dq-rules C3a: nulls left to chance edu:Question

https://knobit.org/id/register/data-quality#QI-311

dcterms:identifierQI-311
rdfs:labeldq-rules C3a: nulls left to chance en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises nulls left to chance in a check predicate

dq-rules C3b: history judged against current reference data edu:Question

https://knobit.org/id/register/data-quality#QI-312

dcterms:identifierQI-312
rdfs:labeldq-rules C3b: history judged against current reference data en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises a past event judged against present data

dq-rules I1a: frozen value list edu:Question

https://knobit.org/id/register/data-quality#QI-313

dcterms:identifierQI-313
rdfs:labeldq-rules I1a: frozen value list en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises a check stronger than its rule

dq-rules I1b: check citing a retired rule edu:Question

https://knobit.org/id/register/data-quality#QI-314

dcterms:identifierQI-314
rdfs:labeldq-rules I1b: check citing a retired rule en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Retires a superseded register entry instead of deleting it, Recognises a check outliving its rule

dq-rules I2a: set rule written as a row rule edu:Question

https://knobit.org/id/register/data-quality#QI-315

dcterms:identifierQI-315
rdfs:labeldq-rules I2a: set rule written as a row rule en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises a set rule written as a row rule

dq-rules I2b: expression unable to run edu:Question

https://knobit.org/id/register/data-quality#QI-316

dcterms:identifierQI-316
rdfs:labeldq-rules I2b: expression unable to run en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises a check expression unable to run

dq-rules I3a: threshold below 100% on a key edu:Question

https://knobit.org/id/register/data-quality#QI-317

dcterms:identifierQI-317
rdfs:labeldq-rules I3a: threshold below 100% on a key en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Recognises a threshold at odds with its rule

dq-rules I3b: warning that rejects rows edu:Question

https://knobit.org/id/register/data-quality#QI-318

dcterms:identifierQI-318
rdfs:labeldq-rules I3b: warning that rejects rows en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Recognises disagreeing severity, threshold and failure action

dq-rules I4a: failure with no capable owner edu:Question

https://knobit.org/id/register/data-quality#QI-319

dcterms:identifierQI-319
rdfs:labeldq-rules I4a: failure with no capable owner en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (2 points)
solvable withset of Recognises a check failure with no capable owner

dq-rules I4b: check scheduled before its parent loads edu:Question

https://knobit.org/id/register/data-quality#QI-320

dcterms:identifierQI-320
rdfs:labeldq-rules I4b: check scheduled before its parent loads en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (2 points)
solvable withset of Recognises a check scheduled at the wrong moment

dq-rules Q1a: misfiled dimension edu:Question

https://knobit.org/id/register/data-quality#QI-321

dcterms:identifierQI-321
rdfs:labeldq-rules Q1a: misfiled dimension en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (2 points)
solvable withset of Recognises a misfiled data quality dimension

dq-rules Q1b: duplicate checks edu:Question

https://knobit.org/id/register/data-quality#QI-322

dcterms:identifierQI-322
rdfs:labeldq-rules Q1b: duplicate checks en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (2 points)
solvable withset of Recognises duplicate checks for one rule

dq-rules-profile C1: whole-table rate hiding a source at 0 % edu:Question

https://knobit.org/id/register/data-quality#QI-323

dcterms:identifierQI-323
rdfs:labeldq-rules-profile C1: whole-table rate hiding a source at 0 % en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (2 points)
solvable withset of Recognises an aggregate hiding a total failure

dq-rules-profile C2: empty population reported as a pass edu:Question

https://knobit.org/id/register/data-quality#QI-324

dcterms:identifierQI-324
rdfs:labeldq-rules-profile C2: empty population reported as a pass en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises an empty population reported as a pass

dq-rules-profile C3: rejection orphaning accounts and payments edu:Question

https://knobit.org/id/register/data-quality#QI-325

dcterms:identifierQI-325
rdfs:labeldq-rules-profile C3: rejection orphaning accounts and payments en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises a rejection destroying more than it protects

dq-rules-profile C4: data rule no valid data can satisfy edu:Question

https://knobit.org/id/register/data-quality#QI-326

dcterms:identifierQI-326
rdfs:labeldq-rules-profile C4: data rule no valid data can satisfy en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC4 (2 points)
solvable withset of Recognises a data rule no valid data can satisfy

dq-rules-profile I1: constraint deferred without a check edu:Question

https://knobit.org/id/register/data-quality#QI-327

dcterms:identifierQI-327
rdfs:labeldq-rules-profile I1: constraint deferred without a check en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises a constraint deferred without a check

dq-rule-derivation C1a: stored available balance checked against ledger less holds edu:Question

https://knobit.org/id/register/data-quality#QI-350

dcterms:identifierQI-350
rdfs:labeldq-rule-derivation C1a: stored available balance checked against ledger less holds en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a stored derivable attribute

dq-rule-derivation C1b: summary table recomputed and its missing as-of date reported edu:Question

https://knobit.org/id/register/data-quality#QI-351

dcterms:identifierQI-351
rdfs:labeldq-rule-derivation C1b: summary table recomputed and its missing as-of date reported en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a stored derived or summary value

dq-rule-derivation C1c: rate snapshot at opening left without a consistency check edu:Question

https://knobit.org/id/register/data-quality#QI-352

dcterms:identifierQI-352
rdfs:labeldq-rule-derivation C1c: rate snapshot at opening left without a consistency check en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains derived data and point-in-time snapshots

dq-rule-derivation C1d: residency copied onto the account with nothing keeping it equal edu:Question

https://knobit.org/id/register/data-quality#QI-353

dcterms:identifierQI-353
rdfs:labeldq-rule-derivation C1d: residency copied onto the account with nothing keeping it equal en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises an unmanaged duplicate column

dq-rule-derivation C1e: copied residency made a controlled denormalisation edu:Question

https://knobit.org/id/register/data-quality#QI-354

dcterms:identifierQI-354
rdfs:labeldq-rule-derivation C1e: copied residency made a controlled denormalisation en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains controlled denormalisation

dq-rule-derivation C2a: closed and half-open validity periods in one mart reported edu:Question

https://knobit.org/id/register/data-quality#QI-355

dcterms:identifierQI-355
rdfs:labeldq-rule-derivation C2a: closed and half-open validity periods in one mart reported en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises inconsistent validity periods in a versioned table

dq-rule-derivation C2b: overlap and gap checks written in each table's period convention edu:Question

https://knobit.org/id/register/data-quality#QI-356

dcterms:identifierQI-356
rdfs:labeldq-rule-derivation C2b: overlap and gap checks written in each table's period convention en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Explains history strategies and validity-period conventions

dq-rule-derivation C2c: balance fact referring to versioned customers by business key edu:Question

https://knobit.org/id/register/data-quality#QI-357

dcterms:identifierQI-357
rdfs:labeldq-rule-derivation C2c: balance fact referring to versioned customers by business key en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises a reference to a versioned table by business key alone

dq-rule-derivation C2d: overwritten interest rate leaves a rule and a requirement uncheckable edu:Question

https://knobit.org/id/register/data-quality#QI-358

dcterms:identifierQI-358
rdfs:labeldq-rule-derivation C2d: overwritten interest rate leaves a rule and a requirement uncheckable en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (3 points)
solvable withset of Recognises an overwrite where history is required

dq-rule-derivation C3a: unenforced UNIQUE checked on Snowflake, enforced NOT NULL left alone edu:Question

https://knobit.org/id/register/data-quality#QI-359

dcterms:identifierQI-359
rdfs:labeldq-rule-derivation C3a: unenforced UNIQUE checked on Snowflake, enforced NOT NULL left alone en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Explains SQL dialect differences, Explains row-level and set-level checks

dq-rule-derivation C3b: format CHECK lost on Snowflake rewritten in Snowflake regex edu:Question

https://knobit.org/id/register/data-quality#QI-360

dcterms:identifierQI-360
rdfs:labeldq-rule-derivation C3b: format CHECK lost on Snowflake rewritten in Snowflake regex en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Explains SQL dialect differences

dq-rule-derivation I1a: maturity-date check scoped to term deposits edu:Question

https://knobit.org/id/register/data-quality#QI-361

dcterms:identifierQI-361
rdfs:labeldq-rule-derivation I1a: maturity-date check scoped to term deposits en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains the population, measure and threshold of a check

dq-rule-derivation I1b: agreed legacy tolerance with consistent severity and action edu:Question

https://knobit.org/id/register/data-quality#QI-362

dcterms:identifierQI-362
rdfs:labeldq-rule-derivation I1b: agreed legacy tolerance with consistent severity and action en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains severity, threshold and failure action

dq-rule-derivation I1c: completeness reported per source and per migration tranche edu:Question

https://knobit.org/id/register/data-quality#QI-363

dcterms:identifierQI-363
rdfs:labeldq-rule-derivation I1c: completeness reported per source and per migration tranche en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Explains segmented data quality reporting

dq-rule-derivation I2a: null second holder decided in the joint-holder predicate edu:Question

https://knobit.org/id/register/data-quality#QI-364

dcterms:identifierQI-364
rdfs:labeldq-rule-derivation I2a: null second holder decided in the joint-holder predicate en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Explains null semantics and three-valued logic

dq-rule-derivation I2b: product family stored per account found transitive and checked across rows edu:Question

https://knobit.org/id/register/data-quality#QI-365

dcterms:identifierQI-365
rdfs:labeldq-rule-derivation I2b: product family stored per account found transitive and checked across rows en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises an update anomaly in a logical data model, Explains third normal form

dq-rule-derivation I3a: checks scheduled after their loads and before the SCV file edu:Question

https://knobit.org/id/register/data-quality#QI-366

dcterms:identifierQI-366
rdfs:labeldq-rule-derivation I3a: checks scheduled after their loads and before the SCV file en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Explains scheduling checks against loads and use

dq-rule-derivation I3b: owners able to fix each failure, not the receiving mailbox edu:Question

https://knobit.org/id/register/data-quality#QI-367

dcterms:identifierQI-367
rdfs:labeldq-rule-derivation I3b: owners able to fix each failure, not the receiving mailbox en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Explains ownership of data quality failures

dq-rule-derivation Q1a: dimensions assigned, accuracy without a source left unmeasured edu:Question

https://knobit.org/id/register/data-quality#QI-368

dcterms:identifierQI-368
rdfs:labeldq-rule-derivation Q1a: dimensions assigned, accuracy without a source left unmeasured en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (1 points)
solvable withset of Explains data quality dimensions

dq-rule-derivation Q1b: every check traced, retired rule given none edu:Question

https://knobit.org/id/register/data-quality#QI-369

dcterms:identifierQI-369
rdfs:labeldq-rule-derivation Q1b: every check traced, retired rule given none en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (1 points)
solvable withset of Explains traceability from data rule to check

dq-profiling-assessment C1: one currentness ratio over source systems that differ, split by population edu:Question

https://knobit.org/id/register/data-quality#QI-450

dcterms:identifierQI-450
rdfs:labeldq-profiling-assessment C1: one currentness ratio over source systems that differ, split by population en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (2 points)
solvable withset of Recognises one quality ratio over differing populations

dq-profiling-assessment C2: a rise in a pooled rate explained as a population mix effect, not improvement edu:Question

https://knobit.org/id/register/data-quality#QI-451

dcterms:identifierQI-451
rdfs:labeldq-profiling-assessment C2: a rise in a pooled rate explained as a population mix effect, not improvement en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Explains a pooled rate as the weighted mean of its population rates, Explains segmented data quality reporting

dq-profiling-assessment C3: date of birth nulls on legal entities read as not applicable, completeness recomputed edu:Question

https://knobit.org/id/register/data-quality#QI-452

dcterms:identifierQI-452
rdfs:labeldq-profiling-assessment C3: date of birth nulls on legal entities read as not applicable, completeness recomputed en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises a null counted as missing where the element does not apply

dq-profiling-assessment C4: placeholder national id counted as missing, completeness recomputed edu:Question

https://knobit.org/id/register/data-quality#QI-453

dcterms:identifierQI-453
rdfs:labeldq-profiling-assessment C4: placeholder national id counted as missing, completeness recomputed en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC4 (2 points)
solvable withset of Recognises a placeholder value counted as present

dq-profiling-assessment I1: a range check relabelled syntactic accuracy, semantic accuracy needing a reference edu:Question

https://knobit.org/id/register/data-quality#QI-454

dcterms:identifierQI-454
rdfs:labeldq-profiling-assessment I1: a range check relabelled syntactic accuracy, semantic accuracy needing a reference en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises a quality measurement labelled with a characteristic it does not test

dq-profiling-assessment I2: a profiling sample whose frame excludes the legacy population edu:Question

https://knobit.org/id/register/data-quality#QI-455

dcterms:identifierQI-455
rdfs:labeldq-profiling-assessment I2: a profiling sample whose frame excludes the legacy population en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises a profiling sample excluding the problem population

dq-profiling-assessment I3: a quality ratio with no population, numerator, denominator or as-of date edu:Question

https://knobit.org/id/register/data-quality#QI-456

dcterms:identifierQI-456
rdfs:labeldq-profiling-assessment I3: a quality ratio with no population, numerator, denominator or as-of date en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1 points)
solvable withset of Recognises a quality ratio with no population, numerator or denominator

dq-root-cause C1a: OB-001 located by cohort and channel; the legacy cause rejected for a rise in app onboardings since 11 August edu:Question

https://knobit.org/id/register/data-quality#QI-550

dcterms:identifierQI-550
rdfs:labeldq-root-cause C1a: OB-001 located by cohort and channel; the legacy cause rejected for a rise in app onboardings since 11 August en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Recognises a root cause the failure distribution contradicts

dq-root-cause C1b: OB-001 traced to its root cause, app release 4.2 sending tax residency in a field the onboarding service does not map edu:Question

https://knobit.org/id/register/data-quality#QI-551

dcterms:identifierQI-551
rdfs:labeldq-root-cause C1b: OB-001 traced to its root cause, app release 4.2 sending tax residency in a field the onboarding service does not map en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (3 points)
solvable withset of Explains root cause analysis techniques

dq-root-cause C2a: OB-002 drop explained by the risk model v3 re-rating in the denominator, not by lost data edu:Question

https://knobit.org/id/register/data-quality#QI-552

dcterms:identifierQI-552
rdfs:labeldq-root-cause C2a: OB-002 drop explained by the risk model v3 re-rating in the denominator, not by lost data en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises a root cause the failure distribution contradicts

dq-root-cause C2b: OB-002 action fitted to the cause - no restore, the re-rated cohort tracked against its EDD deadline edu:Question

https://knobit.org/id/register/data-quality#QI-553

dcterms:identifierQI-553
rdfs:labeldq-root-cause C2b: OB-002 action fitted to the cause - no restore, the re-rated cohort tracked against its EDD deadline en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Explains corrective and preventive action on a data nonconformity

dq-root-cause C3a: the migration cause withdrawn from OB-004, which it cannot produce edu:Question

https://knobit.org/id/register/data-quality#QI-554

dcterms:identifierQI-554
rdfs:labeldq-root-cause C3a: the migration cause withdrawn from OB-004, which it cannot produce en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises one root cause claimed for unrelated failures

dq-root-cause C3b: OB-004 given its own mechanism, the partner date format parsed the wrong way edu:Question

https://knobit.org/id/register/data-quality#QI-555

dcterms:identifierQI-555
rdfs:labeldq-root-cause C3b: OB-004 given its own mechanism, the partner date format parsed the wrong way en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises one root cause claimed for unrelated failures

dq-root-cause I1a: branch staff blamed for OB-005 recognised as user error with no process cause edu:Question

https://knobit.org/id/register/data-quality#QI-556

dcterms:identifierQI-556
rdfs:labeldq-root-cause I1a: branch staff blamed for OB-005 recognised as user error with no process cause en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises user error given as a root cause

dq-root-cause I1b: OB-005 traced to the optional, pre-filled BranchDesk field edu:Question

https://knobit.org/id/register/data-quality#QI-557

dcterms:identifierQI-557
rdfs:labeldq-root-cause I1b: OB-005 traced to the optional, pre-filled BranchDesk field en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises user error given as a root cause

dq-root-cause I2a: OB-003 row restore recognised as a fix at the symptom; CRM-MAP-14 corrected before wave 2 edu:Question

https://knobit.org/id/register/data-quality#QI-558

dcterms:identifierQI-558
rdfs:labeldq-root-cause I2a: OB-003 row restore recognised as a fix at the symptom; CRM-MAP-14 corrected before wave 2 en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises a data fix applied at the symptom

dq-root-cause I2b: the 40-character cut looked for elsewhere in CRM-MAP-14 (street_address, employer_name) edu:Question

https://knobit.org/id/register/data-quality#QI-559

dcterms:identifierQI-559
rdfs:labeldq-root-cause I2b: the 40-character cut looked for elsewhere in CRM-MAP-14 (street_address, employer_name) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises a root cause not looked for elsewhere

dq-root-cause I3: CA-004 fixed once with no control against recurrence; a detecting control added edu:Question

https://knobit.org/id/register/data-quality#QI-560

dcterms:identifierQI-560
rdfs:labeldq-root-cause I3: CA-004 fixed once with no control against recurrence; a detecting control added en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1 points)
solvable withset of Recognises a root cause fix with no control against recurrence

dq-root-cause I4a: OB-001 corrected at the level of its cause, with the lost tax residencies recovered edu:Question

https://knobit.org/id/register/data-quality#QI-561

dcterms:identifierQI-561
rdfs:labeldq-root-cause I4a: OB-001 corrected at the level of its cause, with the lost tax residencies recovered en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (2 points)
solvable withset of Explains corrective and preventive action on a data nonconformity

dq-root-cause I4b: a control that would detect a recurrence of OB-001 edu:Question

https://knobit.org/id/register/data-quality#QI-562

dcterms:identifierQI-562
rdfs:labeldq-root-cause I4b: a control that would detect a recurrence of OB-001 en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI4 (2 points)
solvable withset of Recognises a root cause fix with no control against recurrence

dq-issue-lifecycle C1a: severity raised by the reporter re-rated from the impact (IS-103) edu:Question

https://knobit.org/id/register/data-quality#QI-650

dcterms:identifierQI-650
rdfs:labeldq-issue-lifecycle C1a: severity raised by the reporter re-rated from the impact (IS-103) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (2 points)
solvable withset of Recognises a data quality issue severity set by the reporter

dq-issue-lifecycle C1b: severity lowered by the reporter re-rated from the impact (IS-107) edu:Question

https://knobit.org/id/register/data-quality#QI-651

dcterms:identifierQI-651
rdfs:labeldq-issue-lifecycle C1b: severity lowered by the reporter re-rated from the impact (IS-107) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (2 points)
solvable withset of Recognises a data quality issue severity set by the reporter

dq-issue-lifecycle C2: issue owner who cannot fix the cause replaced by the cause owner (IS-105) edu:Question

https://knobit.org/id/register/data-quality#QI-652

dcterms:identifierQI-652
rdfs:labeldq-issue-lifecycle C2: issue owner who cannot fix the cause replaced by the cause owner (IS-105) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises a data quality issue owner unable to fix its cause

dq-issue-lifecycle C3: issue closed with no re-measurement reopened with a verification plan (IS-104) edu:Question

https://knobit.org/id/register/data-quality#QI-653

dcterms:identifierQI-653
rdfs:labeldq-issue-lifecycle C3: issue closed with no re-measurement reopened with a verification plan (IS-104) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises a data quality issue closed with no verification

dq-issue-lifecycle I1: unlinked duplicate issue linked to its master by cause (IS-106) edu:Question

https://knobit.org/id/register/data-quality#QI-654

dcterms:identifierQI-654
rdfs:labeldq-issue-lifecycle I1: unlinked duplicate issue linked to its master by cause (IS-106) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises duplicate data quality issues left unlinked

dq-issue-lifecycle I2: issue on a critical data element given its impact and severity (IS-102) edu:Question

https://knobit.org/id/register/data-quality#QI-655

dcterms:identifierQI-655
rdfs:labeldq-issue-lifecycle I2: issue on a critical data element given its impact and severity (IS-102) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises an issue on a critical data element with no impact stated

dq-issue-lifecycle I3: issue past its target escalated along the policy route (IS-111) edu:Question

https://knobit.org/id/register/data-quality#QI-656

dcterms:identifierQI-656
rdfs:labeldq-issue-lifecycle I3: issue past its target escalated along the policy route (IS-111) en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (2 points)
solvable withset of Recognises a data quality issue past its target with no escalation

dq-service-levels-scorecard C1: a headline averaging nine lines green over two red critical lines, re-derived from the critical lines edu:Question

https://knobit.org/id/register/data-quality#QI-750

dcterms:identifierQI-750
rdfs:labeldq-service-levels-scorecard C1: a headline averaging nine lines green over two red critical lines, re-derived from the critical lines en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC1 (2 points)
solvable withset of Recognises a scorecard average hiding a failing critical element

dq-service-levels-scorecard C2: a maturity date trend blamed on branch entry after a migration, with the like-for-like series edu:Question

https://knobit.org/id/register/data-quality#QI-751

dcterms:identifierQI-751
rdfs:labeldq-service-levels-scorecard C2: a maturity date trend blamed on branch entry after a migration, with the like-for-like series en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC2 (2 points)
solvable withset of Recognises a quality trend read without its population change

dq-service-levels-scorecard C3: a PEP flag scored on completeness that its timeout default passes edu:Question

https://knobit.org/id/register/data-quality#QI-752

dcterms:identifierQI-752
rdfs:labeldq-service-levels-scorecard C3: a PEP flag scored on completeness that its timeout default passes en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfC3 (2 points)
solvable withset of Recognises a service level measure unable to detect the element's failure

dq-service-levels-scorecard I1: an income threshold from an industry benchmark, re-derived from the DSTI tolerance edu:Question

https://knobit.org/id/register/data-quality#QI-753

dcterms:identifierQI-753
rdfs:labeldq-service-levels-scorecard I1: an income threshold from an industry benchmark, re-derived from the DSTI tolerance en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI1 (2 points)
solvable withset of Recognises a data quality service level threshold with no rationale

dq-service-levels-scorecard I2: a critical repricing date with no service level, given a complete one edu:Question

https://knobit.org/id/register/data-quality#QI-754

dcterms:identifierQI-754
rdfs:labeldq-service-levels-scorecard I2: a critical repricing date with no service level, given a complete one en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI2 (2 points)
solvable withset of Recognises a critical data element with no service level

dq-service-levels-scorecard I3: a residence country service level with no escalation edu:Question

https://knobit.org/id/register/data-quality#QI-755

dcterms:identifierQI-755
rdfs:labeldq-service-levels-scorecard I3: a residence country service level with no escalation en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfI3 (1 points)
solvable withset of Recognises a data quality service level with no escalation

dq-knowledge-general Q1: splitting an address into its parts edu:Question

https://knobit.org/id/register/data-quality#QI-951

dcterms:identifierQI-951
rdfs:labeldq-knowledge-general Q1: splitting an address into its parts en
schema:isPartOfData quality management (DAMA-DMBOK2)
schema:isPartOfQ1 (1 points)
schema:learningResourceTypemultiple_choice
schema:textA customer address field holds '12 Tamme tn, apt 4, Tartu 50407'. The data quality team splits it into street, house number, apartment, city and postal code, using the patterns of Estonian addresses. In DAMA-DMBOK2 terms, which activity is this? (a) Cleansing; (b) Enhancement; (c) Parsing; (d) Standardisation en
solvable withset of Explains data cleansing, enhancement, parsing and standardisation

Business drivers edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-1

dcterms:descriptionWhy organisations manage data quality: the cost and risk of poor data, regulation, and data as an asset. en
dcterms:identifierQV-1
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.1 en
includes knobitExplains data quality goals tied to business drivers
includes knobitExplains the business drivers of data quality management
rdfs:labelBusiness drivers en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.1

Common causes of data quality issues edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-10

dcterms:descriptionLeadership, data entry, processing, system design and manual fixes as sources of defects. en
dcterms:identifierQV-10
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.8 en
includes knobitExplains the common causes of data quality issues
rdfs:labelCommon causes of data quality issues en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.8

Data profiling edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-11

dcterms:descriptionAnalysing data content and structure to find what is in the data. en
dcterms:identifierQV-11
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.9 en
includes knobitRecognises a profiling sample excluding the problem population
includes knobitRecognises a placeholder value counted as present
includes knobitExplains data profiling methods
rdfs:labelData profiling en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.9

Data quality and data processing: cleansing, enhancement, parsing and formatting, standardisation edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-12

dcterms:descriptionProcessing that corrects, enriches, splits and standardises data. en
dcterms:identifierQV-12
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.10 en
includes knobitExplains data cleansing, enhancement, parsing and standardisation
rdfs:labelData quality and data processing: cleansing, enhancement, parsing and formatting, standardisation en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.10

Define high quality data edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-13

dcterms:descriptionAgreeing with stakeholders what high quality means for the data they use. en
dcterms:identifierQV-13
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.1 en
includes knobitExplains selecting critical data elements from their uses
includes knobitExplains data quality dimensions
includes knobitExplains data quality as fitness for purpose
rdfs:labelDefine high quality data en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.1

Define a data quality strategy edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-14

dcterms:descriptionA strategy aligned with business goals, with scope, priorities, accountability, framework and roadmap. en
dcterms:identifierQV-14
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.2 en
includes knobitRecognises a data quality goal with no business driver
includes knobitRecognises a data quality programme scope with no priorities
includes knobitRecognises data quality accountability given to the DQ team
includes knobitRecognises a data quality framework with no route to improvement
includes knobitRecognises a data quality goal with no measure or date
includes knobitRecognises a data quality roadmap item with no owner or funding
includes knobitExplains data quality goals tied to business drivers
includes knobitExplains accountability in a data quality programme
includes knobitExplains scoping and prioritising a data quality programme
includes knobitExplains a funded data quality roadmap
rdfs:labelDefine a data quality strategy en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.2

Identify critical data and business rules edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-15

dcterms:descriptionChoosing the critical data and stating the business rules that define its quality. en
dcterms:identifierQV-15
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.3 en
includes knobitRecognises a constraint claimed by a rule and missing from the schema
includes knobitRecognises a declared constraint the target platform does not enforce
includes knobitExplains rule enforcement mechanisms and platform enforcement
includes knobitRecognises a critical data element with no dependent use
includes knobitRecognises a regulatory return input missing from the critical data elements
includes knobitRecognises a critical data element with no owner
includes knobitRecognises a critical data element chosen above element level
includes knobitRecognises a criticality rationale naming no use
includes knobitRecognises a critical data element with no authoritative source
includes knobitRecognises contradicting data rules
includes knobitRecognises a data rule no valid data can satisfy
includes knobitRecognises redundant data rules
includes knobitRecognises a data rule implied by another
includes knobitRecognises overlapping value-set rules on one fact type
includes knobitRecognises circular derivation rules
includes knobitRecognises a fact type with clashing modalities
includes knobitRecognises one relationship stated as two fact types
includes knobitRecognises a gap in a partition of cases
includes knobitRecognises a uniqueness rule with no unique key behind it
includes knobitRecognises a rule assigned to a missing data quality check
includes knobitRecognises a data-update rule with no enforcing or detecting mechanism
includes knobitRecognises an activity or party rule claimed as a data rule
includes knobitRecognises an ambiguous pronoun in a rule statement
includes knobitRecognises mixed and-or without precedence in a rule
includes knobitRecognises a cardinality rule stated from one end only
includes knobitRecognises a definitional rule filed as operative
includes knobitRecognises an operative rule filed as definitional
includes knobitResolves contradicting rules by adding the missing condition
includes knobitExplains logical relations between rules
includes knobitExplains derivation rules and their dependencies
includes knobitExplains partitions of a concept into cases
rdfs:labelIdentify critical data and business rules en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.3

Perform an initial data quality assessment edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-16

dcterms:descriptionProfiling and measuring the critical data against expectations to find and size its problems. en
dcterms:identifierQV-16
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.4 en
includes knobitRecognises a null counted as missing where the element does not apply
includes knobitRecognises a profiling sample excluding the problem population
includes knobitRecognises a quality measurement labelled with a characteristic it does not test
includes knobitRecognises a placeholder value counted as present
includes knobitRecognises a quality ratio with no population, numerator or denominator
includes knobitRecognises one quality ratio over differing populations
includes knobitExplains the ISO/IEC 25012 data quality characteristics
includes knobitExplains data profiling methods
includes knobitExplains ISO/IEC 25024 data quality measures
rdfs:labelPerform an initial data quality assessment en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.4

Identify and prioritise potential improvements edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-17

dcterms:descriptionChoosing which problems to fix by their impact and their cause. en
dcterms:identifierQV-17
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.5 en
includes knobitExplains scoping and prioritising a data quality programme
includes knobitExplains root cause analysis techniques
includes knobitExplains corrective and preventive action on a data nonconformity
includes knobitExplains impact-based severity of data quality issues
rdfs:labelIdentify and prioritise potential improvements en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.5

Define goals for data quality improvement edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-18

dcterms:descriptionImprovement goals with measures and dates, set from the business impact. en
dcterms:identifierQV-18
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.6 en
includes knobitRecognises a data quality goal with no business driver
includes knobitRecognises a data quality goal with no measure or date
includes knobitExplains data quality goals tied to business drivers
includes knobitExplains setting a quality threshold from the use
rdfs:labelDefine goals for data quality improvement en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.6

Develop and deploy data quality operations: manage data quality rules edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-19

dcterms:descriptionTurning business rules into executable checks with thresholds, actions and owners, kept over their lifecycle. en
dcterms:identifierQV-19
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.7, 2.7.1 en
includes knobitRetires a superseded register entry instead of deleting it
includes knobitRecognises a declared constraint the target platform does not enforce
includes knobitRecognises history kept without its constraints checked
includes knobitRecognises a rule assigned to a missing data quality check
includes knobitRecognises a data-update rule with no enforcing or detecting mechanism
includes knobitRecognises a constraint deferred without a check
includes knobitRecognises a derived or copied column without a check
includes knobitRecognises a check with no rule behind it
includes knobitRecognises a check outliving its rule
includes knobitRecognises a check unable to fail
includes knobitRecognises a check on the wrong object
includes knobitRecognises a check weaker than its rule
includes knobitRecognises a check stronger than its rule
includes knobitRecognises a check measuring the wrong population
includes knobitRecognises nulls left to chance in a check predicate
includes knobitRecognises a past event judged against present data
includes knobitRecognises a set rule written as a row rule
includes knobitRecognises a check expression unable to run
includes knobitRecognises a misfiled data quality dimension
includes knobitRecognises duplicate checks for one rule
includes knobitRecognises a threshold at odds with its rule
includes knobitRecognises disagreeing severity, threshold and failure action
includes knobitRecognises a rejection destroying more than it protects
includes knobitRecognises a check failure with no capable owner
includes knobitRecognises a check scheduled at the wrong moment
includes knobitRecognises an aggregate hiding a total failure
includes knobitRecognises an empty population reported as a pass
includes knobitExplains traceability from data rule to check
includes knobitExplains the population, measure and threshold of a check
includes knobitExplains row-level and set-level checks
includes knobitExplains severity, threshold and failure action
rdfs:labelDevelop and deploy data quality operations: manage data quality rules en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.7, 2.7.1

Goals and principles edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-2

dcterms:descriptionThe goals of a data quality programme and the principles it follows. en
dcterms:identifierQV-2
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.2 en
includes knobitExplains the goals and principles of data quality management
rdfs:labelGoals and principles en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.2

Measure and monitor data quality edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-20

dcterms:descriptionMeasuring quality in operation, at the right moment and over the right populations. en
dcterms:identifierQV-20
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.7.2 en
includes knobitExplains scheduling checks against loads and use
includes knobitExplains segmented data quality reporting
includes knobitRecognises one quality ratio over differing populations
includes knobitExplains ISO/IEC 25024 data quality measures
includes knobitExplains like-for-like trends of quality measures
rdfs:labelMeasure and monitor data quality en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.7.2

Develop operational procedures for managing data issues edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-21

dcterms:descriptionLogging, diagnosing, assigning, escalating, resolving and closing data quality issues. en
dcterms:identifierQV-21
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.7.3 en
includes knobitExplains ownership of data quality failures
includes knobitRecognises a data quality issue severity set by the reporter
includes knobitRecognises a data quality issue owner unable to fix its cause
includes knobitRecognises a data quality issue closed with no verification
includes knobitRecognises duplicate data quality issues left unlinked
includes knobitRecognises an issue on a critical data element with no impact stated
includes knobitRecognises a data quality issue past its target with no escalation
includes knobitExplains impact-based severity of data quality issues
includes knobitExplains the data quality issue lifecycle
includes knobitExplains resolution targets and escalation of data quality issues
rdfs:labelDevelop operational procedures for managing data issues en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.7.3

Establish data quality service level agreements edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-22

dcterms:descriptionService levels per element with thresholds, responsibilities and escalation. en
dcterms:identifierQV-22
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.7.4 en
includes knobitRecognises a data quality service level threshold with no rationale
includes knobitRecognises a data quality service level with no escalation
includes knobitRecognises a service level measure unable to detect the element's failure
includes knobitRecognises a critical data element with no service level
includes knobitExplains data quality service levels
includes knobitExplains setting a quality threshold from the use
rdfs:labelEstablish data quality service level agreements en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.7.4

Develop data quality reporting edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-23

dcterms:descriptionScorecards and reports that show quality against service levels and drive action. en
dcterms:identifierQV-23
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 2.7.5 en
includes knobitExplains segmented data quality reporting
includes knobitRecognises a scorecard average hiding a failing critical element
includes knobitRecognises a quality trend read without its population change
includes knobitExplains aggregation hiding failures
includes knobitExplains like-for-like trends of quality measures
rdfs:labelDevelop data quality reporting en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation2.7.5

Tools edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-24

dcterms:descriptionProfiling, querying, modelling and ETL tools, rule templates and metadata repositories. en
dcterms:identifierQV-24
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 3 en
includes knobitExplains the categories of data quality tools
rdfs:labelTools en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation3

Preventive and corrective actions edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-25

dcterms:descriptionPreventing defects at entry and in processing, and correcting them when found. en
dcterms:identifierQV-25
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 4.1-4.2 en
includes knobitRecognises a data fix applied at the symptom
includes knobitRecognises a root cause fix with no control against recurrence
includes knobitExplains corrective and preventive action on a data nonconformity
includes knobitExplains the kinds of preventive and corrective data quality actions
rdfs:labelPreventive and corrective actions en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation4.1-4.2

Quality check and audit code modules edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-26

dcterms:descriptionReusable code that runs checks and audit controls where data are processed. en
dcterms:identifierQV-26
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 4.3 en
includes knobitExplains scheduling checks against loads and use
includes knobitExplains reusable quality check and audit code modules
rdfs:labelQuality check and audit code modules en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation4.3

Effective data quality metrics edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-27

dcterms:descriptionWhat makes a data quality metric useful. en
dcterms:identifierQV-27
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 4.4 en
includes knobitExplains ISO/IEC 25024 data quality measures
includes knobitExplains setting a quality threshold from the use
includes knobitExplains the characteristics of effective data quality metrics
rdfs:labelEffective data quality metrics en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation4.4

Statistical process control edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-28

dcterms:descriptionControl charts and limits applied to data quality measures. en
dcterms:identifierQV-28
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 4.5 en
includes knobitExplains statistical process control for data quality
rdfs:labelStatistical process control en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation4.5

Root cause analysis edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-29

dcterms:descriptionFinding the process cause of a defect so it can be removed. en
dcterms:identifierQV-29
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 4.6 en
includes knobitRecognises a data fix applied at the symptom
includes knobitRecognises user error given as a root cause
includes knobitRecognises one root cause claimed for unrelated failures
includes knobitRecognises a root cause the failure distribution contradicts
includes knobitRecognises a root cause fix with no control against recurrence
includes knobitRecognises a root cause not looked for elsewhere
includes knobitExplains root cause analysis techniques
includes knobitExplains corrective and preventive action on a data nonconformity
includes knobitExplains testing a root cause against the evidence
rdfs:labelRoot cause analysis en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation4.6

Data quality edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-3

dcterms:descriptionQuality as the degree to which data meet their consumers' needs, and the cost of poor quality. en
dcterms:identifierQV-3
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.1 en
includes knobitExplains data quality as fitness for purpose
rdfs:labelData quality en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.1

Readiness assessment and risk assessment edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-30

dcterms:descriptionWhether the organisation is ready for a data quality programme, and the risks it is to address. en
dcterms:identifierQV-30
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 5.1 en
includes knobitExplains the readiness and risk assessment for a data quality programme
rdfs:labelReadiness assessment and risk assessment en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation5.1

Organisation and cultural change edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-31

dcterms:descriptionTraining, roles and culture that make quality everyone's work. en
dcterms:identifierQV-31
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 5.2 en
includes knobitExplains accountability in a data quality programme
includes knobitExplains the organisational and cultural change a data quality programme needs
rdfs:labelOrganisation and cultural change en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation5.2

Data quality and data governance: data quality policy edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-32

dcterms:descriptionA policy, issued through data governance, that sets roles, standards and controls for data quality. en
dcterms:identifierQV-32
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 6, 6.1 en
includes knobitExplains accountability in a data quality programme
includes knobitExplains the content of a data quality policy
rdfs:labelData quality and data governance: data quality policy en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation6, 6.1

Data quality and data governance: metrics edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-33

dcterms:descriptionMeasures of the data quality programme itself. en
dcterms:identifierQV-33
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 6.2 en
includes knobitExplains data quality service levels
includes knobitExplains the metrics of a data quality programme
rdfs:labelData quality and data governance: metrics en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation6.2

Critical data edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-4

dcterms:descriptionConcentrating effort on the data that matter most to regulatory reporting, finance and customers. en
dcterms:identifierQV-4
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.2 en
includes knobitExplains selecting critical data elements from their uses
includes knobitExplains the BCBS 239 principles
includes knobitExplains the authoritative source of a data element
includes knobitExplains ownership of a critical data element
rdfs:labelCritical data en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.2

Data quality dimensions edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-5

dcterms:descriptionDimensions as measurable features of data, and the frameworks that name them. en
dcterms:identifierQV-5
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.3 en
includes knobitRecognises a misfiled data quality dimension
includes knobitExplains data quality dimensions
includes knobitRecognises a quality measurement labelled with a characteristic it does not test
includes knobitExplains the ISO/IEC 25012 data quality characteristics
includes knobitExplains the published frameworks of data quality dimensions
rdfs:labelData quality dimensions en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.3

Data quality and metadata edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-6

dcterms:descriptionMetadata as the statement of what quality means for each element, and where results are kept. en
dcterms:identifierQV-6
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.4 en
includes knobitExplains traceability from data rule to check
includes knobitExplains the role of metadata in data quality
rdfs:labelData quality and metadata en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.4

Data quality ISO standard edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-7

dcterms:descriptionISO 8000: its parts on data quality management and on the exchange of master data. en
dcterms:identifierQV-7
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.5 en
includes knobitExplains the ISO 8000-61 data quality management process reference model
includes knobitExplains the parts of the ISO 8000 data quality standard
rdfs:labelData quality ISO standard en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.5

Data quality improvement lifecycle edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-8

dcterms:descriptionThe plan-do-check-act cycle applied to data quality. en
dcterms:identifierQV-8
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.6 en
includes knobitRecognises a data quality framework with no route to improvement
includes knobitExplains the ISO 8000-61 data quality management process reference model
includes knobitExplains the data quality improvement cycle
rdfs:labelData quality improvement lifecycle en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.6

Data quality business rule types edu:LearningOutcome

https://knobit.org/id/register/data-quality#QV-9

dcterms:descriptionThe kinds of business rule that data quality is measured against. en
dcterms:identifierQV-9
dcterms:sourceDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality, 1.3.7 en
includes knobitExplains SBVR fact types and rule statements
includes knobitExplains Witt's classification of business rules
includes knobitExplains alethic and deontic modality of rules
includes knobitExplains the types of data quality business rules
rdfs:labelData quality business rule types en
schema:isPartOfDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality
skos:notation1.3.7

DAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality schema:CreativeWork

https://knobit.org/id/register/data-quality#REF-1

dcterms:identifierREF-1
dcterms:publisherDAMA International
dcterms:titleDAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 13: Data Quality en
schema:version2nd edition, revised (DMBOK2/RE)
skos:notetarget level: CDMP Practitioner: the Data Quality specialist exam (DAMA International) en

Used by

assesses learning outcomeDAMA-DMBOK2 data quality: general knowledge no stage test reaches (CDMP-style question)
assesses learning outcomeRetail bank data quality strategy - goals, scope, accountability, framework and roadmap (DQ strategy anomaly skills)
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schema:hasPartI3 (1 points)
schema:hasPartC1 (3 points)
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schema:hasPartC3 (2 points)
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schema:hasPartC3 (2 points)
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schema:hasPartI3 (2 points)
schema:hasPartQ1 (1 points)
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schema:hasPartC1 (4 points)
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schema:hasPartI4 (2 points)
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schema:hasPartC1 (3 points)
schema:hasPartC2 (2 points)
schema:hasPartC3 (2 points)
schema:hasPartI1 (2 points)
schema:hasPartI2 (2 points)
schema:hasPartI3 (2 points)
schema:hasPartI4 (1 points)
schema:hasPartQ1 (1 points)
schema:hasPartC1 (2 points)
schema:hasPartC2 (2 points)
schema:hasPartC3 (2 points)
schema:hasPartI1 (2 points)
schema:hasPartI2 (2 points)
schema:hasPartI3 (1 points)
schema:hasPartC1 (3 points)
schema:hasPartC2 (2 points)
schema:hasPartC3 (2.5 points)
schema:hasPartI1 (2 points)
schema:hasPartI2 (2 points)
schema:hasPartI3 (1.5 points)
schema:hasPartI4 (1 points)
schema:isPartOfRetires a superseded register entry instead of deleting it
schema:isPartOfExplains current value, history and point-in-time reproducibility
schema:isPartOfExplains referential and logical ambiguity in natural-language statements
schema:isPartOfExplains persistent identifiers
schema:isPartOfRecognises a constraint claimed by a rule and missing from the schema
schema:isPartOfRecognises a declared constraint the target platform does not enforce
schema:isPartOfExplains SBVR fact types and rule statements
schema:isPartOfExplains Witt's classification of business rules
schema:isPartOfExplains rule enforcement mechanisms and platform enforcement
schema:isPartOfRecognises an update anomaly in a logical data model
schema:isPartOfRecognises a stored derivable attribute
schema:isPartOfExplains functional dependency
schema:isPartOfExplains candidate key and prime attribute
schema:isPartOfExplains the insertion, update and deletion anomalies
schema:isPartOfExplains third normal form
schema:isPartOfExplains derived data and point-in-time snapshots
schema:isPartOfExplains relationship cardinality and optionality
schema:isPartOfRecognises an unmanaged duplicate column
schema:isPartOfRecognises a stored derived or summary value
schema:isPartOfRecognises an overwrite where history is required
schema:isPartOfRecognises inconsistent validity periods in a versioned table
schema:isPartOfRecognises a reference to a versioned table by business key alone
schema:isPartOfExplains controlled denormalisation
schema:isPartOfExplains null semantics and three-valued logic
schema:isPartOfExplains history strategies and validity-period conventions
schema:isPartOfRecognises history kept without its constraints checked
schema:isPartOfExplains SQL dialect differences
schema:isPartOfExplains the meaning of the set operations union and intersection
schema:isPartOfExplains the concept of a percentage
schema:isPartOfExplains the concept of the arithmetic mean
schema:isPartOfExplains a function as a dependency between two variables
schema:isPartOfDefines the concepts of sample and population
schema:isPartOfExplains the meaning of negation, conjunction and disjunction
schema:isPartOfRecognises a data quality goal with no business driver
schema:isPartOfRecognises a data quality programme scope with no priorities
schema:isPartOfRecognises data quality accountability given to the DQ team
schema:isPartOfRecognises a data quality framework with no route to improvement
schema:isPartOfRecognises a data quality goal with no measure or date
schema:isPartOfRecognises a data quality roadmap item with no owner or funding
schema:isPartOfExplains data quality goals tied to business drivers
schema:isPartOfExplains the ISO 8000-61 data quality management process reference model
schema:isPartOfExplains the data quality improvement cycle
schema:isPartOfExplains accountability in a data quality programme
schema:isPartOfExplains scoping and prioritising a data quality programme
schema:isPartOfExplains a funded data quality roadmap
schema:isPartOfRecognises a critical data element with no dependent use
schema:isPartOfRecognises a regulatory return input missing from the critical data elements
schema:isPartOfRecognises a critical data element with no owner
schema:isPartOfRecognises a critical data element chosen above element level
schema:isPartOfRecognises a criticality rationale naming no use
schema:isPartOfRecognises a critical data element with no authoritative source
schema:isPartOfExplains selecting critical data elements from their uses
schema:isPartOfExplains the BCBS 239 principles
schema:isPartOfExplains the authoritative source of a data element
schema:isPartOfExplains ownership of a critical data element
schema:isPartOfExplains a pooled rate as the weighted mean of its population rates
schema:isPartOfRecognises contradicting data rules
schema:isPartOfRecognises a data rule no valid data can satisfy
schema:isPartOfRecognises redundant data rules
schema:isPartOfRecognises a data rule implied by another
schema:isPartOfRecognises overlapping value-set rules on one fact type
schema:isPartOfRecognises circular derivation rules
schema:isPartOfRecognises a fact type with clashing modalities
schema:isPartOfRecognises one relationship stated as two fact types
schema:isPartOfRecognises a gap in a partition of cases
schema:isPartOfRecognises a uniqueness rule with no unique key behind it
schema:isPartOfRecognises a rule assigned to a missing data quality check
schema:isPartOfRecognises a data-update rule with no enforcing or detecting mechanism
schema:isPartOfRecognises an activity or party rule claimed as a data rule
schema:isPartOfRecognises an ambiguous pronoun in a rule statement
schema:isPartOfRecognises mixed and-or without precedence in a rule
schema:isPartOfRecognises a cardinality rule stated from one end only
schema:isPartOfRecognises a definitional rule filed as operative
schema:isPartOfRecognises an operative rule filed as definitional
schema:isPartOfResolves contradicting rules by adding the missing condition
schema:isPartOfExplains alethic and deontic modality of rules
schema:isPartOfExplains logical relations between rules
schema:isPartOfExplains derivation rules and their dependencies
schema:isPartOfExplains partitions of a concept into cases
schema:isPartOfRule assigned to a check that does not exist (data quality rule)
schema:isPartOfConstraint the platform does not enforce, with no check (data quality rule)
schema:isPartOfRecognises a constraint deferred without a check
schema:isPartOfRecognises a derived or copied column without a check
schema:isPartOfUpdate rule handed to a mechanism nobody verifies (data quality rule)
schema:isPartOfRecognises a check with no rule behind it
schema:isPartOfRecognises a check outliving its rule
schema:isPartOfRecognises a check unable to fail
schema:isPartOfRecognises a check on the wrong object
schema:isPartOfRecognises a check weaker than its rule
schema:isPartOfRecognises a check stronger than its rule
schema:isPartOfRecognises a check measuring the wrong population
schema:isPartOfRecognises nulls left to chance in a check predicate
schema:isPartOfRecognises a past event judged against present data
schema:isPartOfRecognises a set rule written as a row rule
schema:isPartOfRecognises a check expression unable to run
schema:isPartOfRecognises a misfiled data quality dimension
schema:isPartOfRecognises duplicate checks for one rule
schema:isPartOfRecognises a threshold at odds with its rule
schema:isPartOfRecognises disagreeing severity, threshold and failure action
schema:isPartOfRecognises a rejection destroying more than it protects
schema:isPartOfRecognises a check failure with no capable owner
schema:isPartOfRecognises a check scheduled at the wrong moment
schema:isPartOfRecognises an aggregate hiding a total failure
schema:isPartOfRecognises an empty population reported as a pass
schema:isPartOfExplains data quality dimensions
schema:isPartOfExplains traceability from data rule to check
schema:isPartOfExplains the population, measure and threshold of a check
schema:isPartOfExplains row-level and set-level checks
schema:isPartOfExplains severity, threshold and failure action
schema:isPartOfExplains scheduling checks against loads and use
schema:isPartOfExplains segmented data quality reporting
schema:isPartOfExplains ownership of data quality failures
schema:isPartOfRecognises a null counted as missing where the element does not apply
schema:isPartOfRecognises a profiling sample excluding the problem population
schema:isPartOfRecognises a quality measurement labelled with a characteristic it does not test
schema:isPartOfRecognises a placeholder value counted as present
schema:isPartOfRecognises a quality ratio with no population, numerator or denominator
schema:isPartOfRecognises one quality ratio over differing populations
schema:isPartOfExplains the ISO/IEC 25012 data quality characteristics
schema:isPartOfExplains data profiling methods
schema:isPartOfExplains ISO/IEC 25024 data quality measures
schema:isPartOfRecognises a data fix applied at the symptom
schema:isPartOfRecognises user error given as a root cause
schema:isPartOfRecognises one root cause claimed for unrelated failures
schema:isPartOfRecognises a root cause the failure distribution contradicts
schema:isPartOfRecognises a root cause fix with no control against recurrence
schema:isPartOfRecognises a root cause not looked for elsewhere
schema:isPartOfExplains root cause analysis techniques
schema:isPartOfExplains corrective and preventive action on a data nonconformity
schema:isPartOfExplains testing a root cause against the evidence
schema:isPartOfRecognises a data quality issue severity set by the reporter
schema:isPartOfRecognises a data quality issue owner unable to fix its cause
schema:isPartOfRecognises a data quality issue closed with no verification
schema:isPartOfRecognises duplicate data quality issues left unlinked
schema:isPartOfRecognises an issue on a critical data element with no impact stated
schema:isPartOfRecognises a data quality issue past its target with no escalation
schema:isPartOfExplains impact-based severity of data quality issues
schema:isPartOfExplains the data quality issue lifecycle
schema:isPartOfExplains resolution targets and escalation of data quality issues
schema:isPartOfRecognises a scorecard average hiding a failing critical element
schema:isPartOfRecognises a data quality service level threshold with no rationale
schema:isPartOfRecognises a quality trend read without its population change
schema:isPartOfRecognises a data quality service level with no escalation
schema:isPartOfRecognises a service level measure unable to detect the element's failure
schema:isPartOfRecognises a critical data element with no service level
schema:isPartOfExplains data quality service levels
schema:isPartOfExplains aggregation hiding failures
schema:isPartOfExplains setting a quality threshold from the use
schema:isPartOfExplains like-for-like trends of quality measures
schema:isPartOfExplains the business drivers of data quality management
schema:isPartOfExplains the goals and principles of data quality management
schema:isPartOfExplains data quality as fitness for purpose
schema:isPartOfExplains the published frameworks of data quality dimensions
schema:isPartOfExplains the role of metadata in data quality
schema:isPartOfExplains the parts of the ISO 8000 data quality standard
schema:isPartOfExplains the types of data quality business rules
schema:isPartOfExplains the common causes of data quality issues
schema:isPartOfExplains data cleansing, enhancement, parsing and standardisation
schema:isPartOfExplains the categories of data quality tools
schema:isPartOfExplains the kinds of preventive and corrective data quality actions
schema:isPartOfExplains reusable quality check and audit code modules
schema:isPartOfExplains the characteristics of effective data quality metrics
schema:isPartOfExplains statistical process control for data quality
schema:isPartOfExplains the readiness and risk assessment for a data quality programme
schema:isPartOfExplains the organisational and cultural change a data quality programme needs
schema:isPartOfExplains the content of a data quality policy
schema:isPartOfExplains the metrics of a data quality programme