A challenge with many existing data sets is that they do not have reliable quantitative quality indicators available to them. To address this, GeoViQua has developed a tool to combine reference data with collocated measurements to compute dataset-level quality indicators. These quality indicators, such as the mean (bias), variance, or quantiles of the uncertainties can then be added to XML in the extended producer quality model. The additional XML includes a description of the lineage of the quality indicators.
The quality emitter tool also provides a validation of the quality indicators (often referred to as meta-quality descriptors) which allow the user to judge the reliability of the quality indicators, and to easily access information on how these indicators were computed.
https://github.com/GeoViQua/computeqi-web – https://github.com/GeoViQua/emulatorization-api