Data Quality Measures

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Version 1.0
Created date 25-12-2021

Accurateness

Accurateness refers to the degree of which a data entity displays reality. Accurateness can be decided by comparing a data entity with the entity in reality. An example is a a difference between a mailing list of clients and the true clients of an organis

Author Bert Dingemans
Alias --
Stereotypes Requirement
Details of Accurateness

Completeness

This refers to the degree in which certain attributes are present within a data entity. In addition to that the completeness also counts for a certain set of entities (rows) within a data set always being present. For example a person could only have the

Author Bert Dingemans
Alias --
Stereotypes Requirement
Details of Completeness

Precision

Degree of detail in which a data entity displays reality. For example this refers to the precision of numbers and such. Storage of numbers and dates can be insufficiently accurate because rounding is needed in storage. Domains in features can also have in

Author Bert Dingemans
Alias --
Stereotypes Requirement
Details of Precision

Datatype evaluation relational database

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Author Bert Dingemans
Alias --
Stereotypes Deliverable
Details of Datatype evaluation relational database

Introduce Geo extension in database

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Author Bert Dingemans
Alias --
Stereotypes Deliverable
Details of Introduce Geo extension in database

Map application datamodels to logical datamodel

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Author Bert Dingemans
Alias --
Stereotypes Deliverable
Details of Map application datamodels to logical datamodel