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, communitydriven, 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.
In December 2016 EFSA and BfR stepped into a Framework Partnership Agreement (FPA) to work jointly on the development, improvement and dissemination of global food safety tools. As outlined in the Specific Agreement #7 of this FPA one specific objective was to work towards the development of a fully operational online model repository that includes features to create, upload, download and execute models with user-defined inputs for the predefined model parameters. The user interface of the socalled FSK-Web model repository had to be designed such, that it is user-friendly and usable on various end-user devices and web browser software. The developed "FSK-Web 1.0" platform now even contains additional services, e.g. to link models with EFSA's Knowledge Junction (KJ) or to join up to four models in a graphical user-interface (GUI) online. Detailed manuals, video tutorials and an online e-learning course were developed to support the use of the FSK-Web repository. A repository disclaimer and a model curation policy were drafted and will be released after being agreed with EFSA. The project created three key outcomes: (1) an operational curated web-based food safety model repository, and a significant number of executable QMRA models in FSKX format relevant for risk assessment; (2) improved usability and annotation of the various services offered by the FSK-Web model repository including manuals and online resources explaining the functionality and use of all aspects of the model repository;(3) provision of the possibility to link different FSKX models to create new combined models, including the option to combine models programmed in different scripting languages (also execution of combined R / Python models supported).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.