Valid data: verschil tussen versies

Valid data
Geen bewerkingssamenvatting
k (Tekst vervangen - "|Producttype=" door "|Lid van=")
 
Regel 7: Regel 7:
|Definitie (en)=Valid data is data that complies to the validation constraints that have been defined on the data structure, the data instances and the data values of a dataset.
|Definitie (en)=Valid data is data that complies to the validation constraints that have been defined on the data structure, the data instances and the data values of a dataset.
|Toelichting (en)=But this does not mean that the data of a dataset is correct, since it can still contain errors (human and/or machine processing errors), but it means that most likely the data quality and data integrity of a dataset has improved, since the data or knowledge modeling process has been executed in more detail and since the data can be checked more often for possible human and/or machine processing errors (e.g. via screen validation during data entry).
|Toelichting (en)=But this does not mean that the data of a dataset is correct, since it can still contain errors (human and/or machine processing errors), but it means that most likely the data quality and data integrity of a dataset has improved, since the data or knowledge modeling process has been executed in more detail and since the data can be checked more often for possible human and/or machine processing errors (e.g. via screen validation during data entry).
|Producttype=Overig
|Lid van=Overig
|Gerelateerd=RDF validation,SHACL,Shapes,Data quality,Data integrity
|Gerelateerd=RDF validation,SHACL,Shapes,Data quality,Data integrity
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Huidige versie van 21 feb 2020 om 13:34

 
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Expertise

Eigenschappen

Label (nl)Valide data
Label (en)Valid data
Synoniem (nl)Geldige data
Definitie (en)Valid data is data that complies to the validation constraints that have been defined on the data structure, the data instances and the data values of a dataset.
Toelichting (en)But this does not mean that the data of a dataset is correct, since it can still contain errors (human and/or machine processing errors), but it means that most likely the data quality and data integrity of a dataset has improved, since the data or knowledge modeling process has been executed in more detail and since the data can be checked more often for possible human and/or machine processing errors (e.g. via screen validation during data entry).

Relaties

VertrekpuntRelatieEindpunten
Valid dataGerelateerd
Valid dataLid van

Afgeleide relaties

VertrekpuntRelatieEindpunt
Data integriteit (Expertise)GerelateerdValid data
Datakwaliteit (Expertise)GerelateerdValid data
RDF validatie (Expertise)GerelateerdValid data
Validatieconstraints (Expertise)GerelateerdValid data





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