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Validation procedure
Procedure that aims to assess the performance of fitted models and to determine if they can be used to aid decision-making. The validation process might use several hundred of...-
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Generic Metadata Schema
The complete set of metadata concepts generated as part of the RAKIP project that allows annotating with sufficient detail any type of model or data in the QMRA or PM modelling...-
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Visualization
A process by a chart or other image is created as a visual representation of the transformed data.-
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Risk analysis
A process consisting of three components: risk assessment, risk management and risk communication (Codex Alimentarius Commission, 1999).-
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Model generation process
Process aiming at generating a description of a system through mathematical concepts or software code.-
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Hazard
A biological, chemical or physical agent in, or condition of, food with the potential to cause an adverse health effect (FAO/WHO, 2016).-
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Empirical model
Empirical models describe a set of data in a convenient mathematical relationship without considering any underlying phenomena (Ross and Dalgaard 2004). Examples of empirical...-
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RAKIP web portal
Online resource for RAKIP partners with a Graphical User Interface for browsing, searching, filtering and downloading FSKX-files. It allows sharing FSK-ML formatted data and...-
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Fitted model
Model equation that has been fitted to Experimental/Observational data (training data) with the aim of obtaining a validated-fitted model.-
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FSKX-file
File format defined within the FSK-ML specifications supporting the exchange of risk assessment models.-
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Matrix
The matrix for which the model or data applies. The term Matrix is inspired in the Standard Sample Description for Food and Feed ver. 2.0 (SSD) (EFSA, 2013) where the type of...-
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Data collection
The process of gathering data. Different types of data can be collected (microbial concentrations, daily consumption, etc.). The collected data should be fit for purpose,...-
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Hazard characterization
The qualitative and/or quantitative evaluation of the nature of the adverse health effects associated with biological, chemical and physical agents which may be present in food...-
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Model-based knowledge
Knowledge on a system stored inside or obtained from a model, e.g. a mathematical algorithm, EM, PM and QMRA model, software code etc.-
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Model class
Classification of mathematical models relevant for microbial food safety such as QMRA model, dose-response model, process model, consumption model, exposure model, health metric...-
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