The purpose of this paper is to outline the advantages of integrating quality management systems with innovation management systems. The paper presents the chronology of ISO standards for management systems, the evolution from quality management systems based on ISO 9001 to innovation management systems based on ISO 56002. The discussion evolves into a summary of the lessons learned from the implementation of such systems. The conclusions highlight a number of opportunities for improvement and suggestions for practical implementation of innovation management systems in universities.

The purpose of the paper is to represent a method for taximeter verification. Taximeters, as special measurement instruments, are subject to metrological control in order to protect the rights of taxi customers. The methodology applied for the theoretical study of the proposed method is derived from Measurement System Analysis, Root Cause Analysis, and similar taximeter verification methods applied in other European countries. The presented method is innovative for Bulgaria and about to be introduces for the need of metrological control.

The main metrological ambiguity in transducers’ calibration protocols establishment is whether the unit is going to be regarded as an integrated device in a measurement system, or it will be examined as a standalone instrument. This dilemma is related to the quantity selection on which the procedure development is based and later the measurement uncertainty modelling is performed. Another issue is the appropriate selection of measurement points which are going to embrace the full range of input signals transformation. The discussion is experimentally verified with a real case study considering trans-conductance amplifier calibration by using high current energy comparator.

Measurement devices for form and roughness use the measurement probe that converts the displacement into an electrical signal. In addition to the form/roughness information, the measurement signal can contain undesirable noise due to mechanical, electrical, thermal, and other influences that can lead to an error in the measurement result. Given the growing demands to reduce measurement uncertainty, especially in the form and roughness measurement, noise is a limiting factor. In 2019 the EMPIR project entitled Traceability for contact probe and stylus instrument measurements (18PRT01 ProbeTrace) was launched. This project aims to develop traceable and cost-effective measurement capabilities for the calibration of form and surface roughness standards with uncertainties in the range of 10 nm to 100 nm. To achieve targeted uncertainties, noise reduction software with numerical methods for random noise bias reduction must be developed to pre-process roughness and form profile data. The novel method that will be investigated in the ProbeTrace project is based on Random Noise Bias Removal, where only a few repeated measurements are needed to obtain unbiased results. Software based on random noise bias reduction will be presented in this paper, along with the results of applied noise reduction to roundness measurement data in the Croatian National Laboratory for Length (FSB).

Radon gas is the largest source of public exposure to naturally occurring radioactivity. Radon activity concentration maps, based on atmospheric measurements, as well as radon flux maps can help Member States to comply with the EU Council Directive 2013/59/Euratom and, particularly, with the identification of Radon Priority Areas. Radon can also be used, as a tracer, to improve Atmospheric Transport Models and to indirectly estimate greenhouse gas (GHG) fluxes. This is important for supporting successful GHG mitigation strategies. One approach to estimate GHG fluxes on local to regional scale is the socalled Radon Tracer Method (RTM), which is based on the night-time correlation between atmospheric concentrations of radon and GHG measured at a given station together with information on the radon flux data within the station footprint. Thus, atmospheric monitoring networks are interested or are already measuring atmospheric radon activity concentrations using different techniques but a metrological chain to ensure the traceability of all these measurements was missing. Since 2020 a large consortium engaged in the project traceRadon [1] to develop the missing traceability chains to improve the respective sensor networks http://traceradon-empir.eu/ . This paper presents results in the areas: Novel 226Ra standard sources with continuous controlled 222Rn emanation rate, radon chambers aimed to create a reference radon atmosphere and a reference field for radon flux monitoring. The achieved results are making new calibration services far beyond the state of art possible.