Establishment of a Prototypic Quantitative Microbial Risk Assessment (QMRA) Food and Feed Safety Model Repository

The transfer and re-use of existing food safety knowledge (ranging from experimental data, published mathematical models to risk assessment software code) is currently a major bottleneck in the area of food safety risk assessment. Such knowledge transfer and knowledge re-use would be possible if curated, community-driven risk assessment knowledge repositories would exist, that provide mathematical models/modules in a machine-readable format. This project therefore aims at the development of necessary resources (standards, ontology-based controlled vocabularies, software tools and services) facilitating the establishment of open, community-driven, curated knowledge repositories for scientists and risk assessors. The main goal of this project is the provisioning of a proof-of-principle implementation of a food and feed safety model repository on the following basis: Development of a generic model exchange format (FSK-ML) to encode food and feed safety models, data and simulation scenarios. Development of open technical resources (converter, software libraries, data processing workflows) as well as domain-specific ontologies facilitating the broad adoption of FSK-ML in the area of Quantitative Microbial Risk Assessment (QMRA) Development and extension of software tools for de-novo generation, export, import, validation and execution of FSK-ML files. Establishment of a prototypic web-based knowledge repository for QMRA with seamless interoperation with EFSA's Knowledge Junction (KJ), which allows access to the collected resources as well as the provision of digital object identifiers (DOI).