Minimum Information Required to Annotate Food Safety Risk Assessment Models (MIRARAM). (January 2021)
- Record Type:
- Journal Article
- Title:
- Minimum Information Required to Annotate Food Safety Risk Assessment Models (MIRARAM). (January 2021)
- Main Title:
- Minimum Information Required to Annotate Food Safety Risk Assessment Models (MIRARAM)
- Authors:
- Filter, Matthias
Sundermann, Esther M.
Mesa-Varona, Octavio
Buschhardt, Tasja
Lopez de Abechuco, Estibaliz
Georgiadis, Marios - Abstract:
- Graphical abstract: Highlights: Food safety risk assessment models sometimes lack important metadata. Guidelines on how to annotate models in a harmonized way could assist in a more efficient exchange, re-use and continuous improvement of the models. Proposed MIRARAM guideline builds on best practices from related disciplines. Adoption of MIRARAM will facilitate model re-use. Abstract: In the last decades, mathematical models and model-based simulations became important elements not only in the area of risk assessment concerning microbiological and chemical hazards but also in modelling biological phenomena in general. Unfortunately, many of the developed models are published in non-standardized ways, which hinders efficient exchange, re-use and continuous improvement of models within the risk assessment domain. The establishment of guidelines for model annotation is an important pre-condition to overcome these obstacles. Additionally, implementation of annotation guidelines can improve transparency, quality control and even aid the clarification of intellectual property rights. Here, we address the question of "What is the minimum set of metadata that should be provided for a model in the risk assessment domain?". The proposed guideline focuses on food safety risk assessment models and is called "Minimum Information Required to Annotate food safety Risk Assessment Models (MIRARAM)". MIRARAM supports the model creator during the model documentation step and could also beGraphical abstract: Highlights: Food safety risk assessment models sometimes lack important metadata. Guidelines on how to annotate models in a harmonized way could assist in a more efficient exchange, re-use and continuous improvement of the models. Proposed MIRARAM guideline builds on best practices from related disciplines. Adoption of MIRARAM will facilitate model re-use. Abstract: In the last decades, mathematical models and model-based simulations became important elements not only in the area of risk assessment concerning microbiological and chemical hazards but also in modelling biological phenomena in general. Unfortunately, many of the developed models are published in non-standardized ways, which hinders efficient exchange, re-use and continuous improvement of models within the risk assessment domain. The establishment of guidelines for model annotation is an important pre-condition to overcome these obstacles. Additionally, implementation of annotation guidelines can improve transparency, quality control and even aid the clarification of intellectual property rights. Here, we address the question of "What is the minimum set of metadata that should be provided for a model in the risk assessment domain?". The proposed guideline focuses on food safety risk assessment models and is called "Minimum Information Required to Annotate food safety Risk Assessment Models (MIRARAM)". MIRARAM supports the model creator during the model documentation step and could also be used as a checklist by scientific journal editors or database curators. Software developers could take up MIRARAM and develop easy-to-use software tools or new features in existing programs that can help model creators to provide proposed model annotations in harmonized file formats. Based on experiences from similar guidelines in related scientific disciplines (like systems biology), it is expected that MIRARAM could contribute to the promotion of application and re-use of models as well as to implementing more standardized quality control in the food safety modelling domain. … (more)
- Is Part Of:
- Food research international. Volume 139(2021)
- Journal:
- Food research international
- Issue:
- Volume 139(2021)
- Issue Display:
- Volume 139, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 139
- Issue:
- 2021
- Issue Sort Value:
- 2021-0139-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Modelling -- Quantitative Microbial Risk Assessment (QMRA) -- Model annotation checklist -- Information exchange format
DOI Digital Object Identifier -- FSK Food Safety Knowledge -- FMJ Food Modelling Journal -- ID IDentifier -- OMEX Open Modelling EXchange format -- QMRA Quantitative Microbial Risk Assessment -- RAKIP Risk Assessment Modelling and Knowledge Integration Platforms -- REST REpresentational State Transfer -- UID Unique IDentifier -- URI Uniform Resource Identifier -- WPS Wi-Fi Protected Setup
Food -- Analysis -- Periodicals
Food industry and trade -- Periodicals
Food industry and trade -- Canada -- Periodicals
Food Technology -- Periodicals
Food -- Periodicals
Food-Processing Industry -- Periodicals
Aliments -- Industrie et commerce -- Périodiques
Aliments -- Industrie et commerce -- Canada -- Périodiques
Aliments -- Recherche -- Périodiques
Food industry and trade
Canada
Periodicals
Electronic journals
664.005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09639969 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodres.2020.109952 ↗
- Languages:
- English
- ISSNs:
- 0963-9969
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3982.120000
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