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.
Keywords: Data Quality; Quality dimension global coefficient.