European Metrology Network for Mathematics and Statistics

A list of existing courses on measurement uncertainty provided by some of the partners and stakeholders of the Measurement Uncertainty Training activity is available. The courses are categorised according to several characteristics (language, technicity level, duration etc.) to help everyone find a well-suited course.

Survey of existing training courses on Measurement Uncertainty evaluation (XLSX) >>

A review of examples on measurement uncertainty evaluation is available. The examples are taken from the survey of training courses above as well as taken from the Compendium of examples provided by the EMPIR project 'Advancing measurement uncertainty - comprehensive examples for key international standards'.

Survey of examples on Measurement Uncertainty evaluation (XLSX) >>

An overview of existing software to evaluate measurement uncertainty is provided. The software has been analysed according to relevant technical features and the adherence to the approaches in the JCGM suite of documents.

Survey of available software for Measurement Uncertainty evaluation (XLSX) >>

An analysis of the results collected in the surveys above is published in 'F. R. Pennecchi and P. M. Harris, Mathmet Measurement Uncertainty Training activity – Overview of courses, software, and classroom examples, ACTA IMEKO 12 (2), 2023'.

The material collected in the above-mentioned surveys was produced by the authors with due care and was agreed by the partners of the activity. It displays the state of knowledge at the date of those document versions and does not claim completeness.

Measurement Uncertainty: an introduction

The following video introduces the concept of measurement uncertainty and its importance. The video will be of interest to anyone involved with any kind of measurement in their professional activity: engineers and technicians in calibration and testing laboratories, industry or accreditation bodies.

The material will be available shortly >>

Measurement uncertainty: the coverage factor k explained

Expanded uncertainties can be calculated by multiplying the standard uncertainty with a coverage factor. This video points to a frequent mistake when deriving expanded uncertainties. The video explains the origin of the choice of k = 2, when this choice may be inappropriate, and it will briefly introduce existing alternatives

Video: The coverage factor k explained – From standard uncertainty u to expanded uncertainty U

English version >>

German version >>

Spanish version >>

Bosnian version >>

Slovakian version >>

Measurement uncertainty: the importance of data quality

Modern measuring systems generate large amounts of heterogenous data, which can make understanding data quality and data management challenging. The following videos together constitute an introductory training course on data quality, with the aims to introduce the concept of data quality and to explain why the consideration of data quality is critical for making reliable decisions based on measurement data:

• Overview of Data Quality describes data quality and its importance
• Ensuring Data Quality considers how to implement data quality using the FAIR principles
• Quality Management Systems covers management systems for data quality
• Data Quality for Metrology discusses data quality in the context of metrology-focused organisations

Measurement uncertainty: a software demonstration

This tutorial covers measurement uncertainty evaluations using the uncertainty software of LNE, the French National Metrology Institute. It includes practical applications for the analysis of measurement processes, quantification and propagation of uncertainties, and interpretation of results using both the Law of Propagation of Uncertainty and the Monte Carlo methods. Advanced features like sensitivity analysis, GUM validation, and output characterisation are also demonstrated.

Watch the video on LNE's website >>