D-SI Metadata Model – example data and software scripts for handling uncertainty dependencies

The D-SI models for measurement uncertainty are based on the reporting of simple uncertainty numbers, which are outcomes of the evaluation of uncertainty budgets. The budget-specific mathematical combination of different components of uncertainty is known and defined in the GUM under the principle of the linear propagation of uncertainties. A better identification and ability to reuse information on individual components of uncertainty can help to improve the accuracy of data processing along chains of subsequent measurements and measurement models. It also helps to uncover hidden correlation between data. By introducing dependencies of uncertainty to the D-SI, the use of such information on components of uncertainties will be enabled. Two important tools explicitly applying dependencies are METAS’s UncLib which is developed by Michael Wollensack and the GUM Tree Calculator which is developed by Blair Hall. This publication provides an example of the inclusion of dependencies in the D-SI metadata model. The examples provide XML-files including D-SI data, correlations and dependencies. The XML-data (the reported values) are input to calculations which are also provided. T the statistical R-software was used to implement the calculations and the software scripts are also included.