Data Quality Measures

Versie 1.0
Creatie datum 25-12-2021

Introduce Geo extension in database

Auteur Bert Dingemans
Alias
Stereotypes Deliverable
Details van Introduce Geo extension in database

Datatype evaluation relational database

Auteur Bert Dingemans
Alias
Stereotypes Deliverable
Details van Datatype evaluation relational database

Map application datamodels to logical datamodel

Auteur Bert Dingemans
Alias
Stereotypes Deliverable
Details van Map application datamodels to logical datamodel

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 quality name, yet also consist of nickname, first names, surname and maiden name. In the last case there is a higher completeness

Auteur Bert Dingemans
Alias
Stereotypes Requirement
Details van 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 insufficient precision (such as a Dutch postal code in an international data storage.)

Auteur Bert Dingemans
Alias
Stereotypes Requirement
Details van Precision

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 organisation..

Auteur Bert Dingemans
Alias
Stereotypes Requirement
Details van Accurateness