The already existing U data quality assessment data model has now some metrology parameters.
– completeness
– timeliness
– accuracy
– precision
![]()
Thanks to the Waterverse project and Grigoris Stathopoulos, the contributor.
The already existing U data quality assessment data model has now some metrology parameters.
– completeness
– timeliness
– accuracy
– precision
![]()
Thanks to the Waterverse project and Grigoris Stathopoulos, the contributor.
** ADOPTERS.yaml file location considerations
** SHACL files
** Alignment proposal: EDINT (FEMP, Spain) ↔ official Smart Data Models — parking, traffic, environment
** Add dataModel.DigitalMarketing subject (Brand, DigitalAsset, DigitalAssetMetric, DataProvider)
** Add agriSampling data models
** added examples and needed files for all resource types of HL7/FHIR-R4
