Design of an Application for the Automatic Assessment of the Quality of Data Produced in an African Context (Burkina Faso) "Package Data Quality Assessment (PackDQA)".

Data Quality Quality dimension global coefficient

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
06 Jun 2022
Historique:
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 10 6 2022
Statut: ppublish

Résumé

We have developed data quality tool in R language. Our application name is Package-Data-Quality-Assessment (PackDQA)". It developed following five points: Quality dimension approaches identification, design of quality measures, global coefficient design, development of the quality model, test and deployment model. This model test performed on health data in Burkina Faso show 97.69% observations is quality. The current version does not include qualitative data. We will have to improve theme to use all types of data.

Identifiants

pubmed: 35673169
pii: SHTI220231
doi: 10.3233/SHTI220231
doi:

Types de publication

Journal Article

Langues

eng

Pagination

987-988

Auteurs

Mimbouré Yara (M)

University of Nazi BONI, Bobo-Dioulasso, Burkina Faso.
National public health institute, Ouagadougou, Burkina Faso.

Seydou Golo Barro (SG)

University of Nazi BONI, Bobo-Dioulasso, Burkina Faso.
RETINES Lab - IRIS department - Medical Faculty of Nice University, France.

Pascal Staccini (P)

RETINES Lab - IRIS department - Medical Faculty of Nice University, France.

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Classifications MeSH