Funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3, Theme 10.
Tools to address metrological principles for reliability of measuremen...
Digital solutions will be developed by transfer of digitization models within the food supply chains and the development of data economy (IoT, Big Data, Edge Computing, etc.) and new “green solutions” in support to food safety, risk assessment and traceability. In addition, smart labels for food oxidation detection and shelf-life assessment will be considered. Tools to address metrological principles for reliability of measurement results and confidence in data for FAIR principles’ implementation will be applied. Finally, a database of food traceability data will be realised by implementing an IoT platform using a specific AI algorithm in real time, and data from WP1 and WP2 will be shared at national level by developing a new platform using ReCaS DataCenter.
Report on tools to assess metrological data quality before data sharing (M36)
Report on metrological principles in data sharing and integration (M36)
The most advanced instruments for the acquisition of various kind of data, also supported by automation systems to maximize efficiency, are known to ensure high reproducibility. In addition, the combination of the instrumentation with an advanced ICT infrastructure for storage, aggregation and integration of information, and the use of advanced Cloud Computing systems promote the FAIR principles for the advancement of knowledge in food science.
Certified Reference Materials (CRMs) are key tools for achieving traceability of the measurement results, proving accuracy of methods and demonstrating proficiency of laboratories; they are a cost-attractive tool for validation and quality control of analytical methods and sensors. Standard Operating Procedures (SOPs) are other useful tools to provide guidelines for good measurement practice.
In this project the significant experience of the PIs in project management related to metrological traceability of data in food measurements will be exploited.