Towards transparent and consistent exchange of knowledge for improved microbiological food safety

Carolina Plaza-Rodrigues, Leticia Ungaretti Haberbeck*, Virginie Desvignes, Paw Dalgaard, Moez Sanaa, Maarten Nauta, Matthias Filter, Laurent Guillier

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Predictive microbial modelling and quantitative microbiological risk assessment, two important and complementary areas within the food safety community, are generating a variety of scientific knowledge (experimental data and mathematical models) and resources (databases and software tools) for the exploitation of this knowledge. However, the application and reusability of this knowledge is still hampered as the access to this knowledge and the exchange of information between databases and software tools are currently difficult and time consuming. To facilitate transparent and consistent knowledge access and exchange new tools and community resources are needed. These resources will promote the creation of a public microbiological food safety knowledge repository encompassing available data and models. However, essential components are currently missing, such as open data formats supported by different software tools and consistent rules for knowledge annotation. The knowledge repository would be a user friendly tool to benefit different users within the microbiological food safety community, especially users like risk assessors and managers, model developers and research scientists working in the private sector (e.g. food industries, consultancy companies), research institutes or food authorities.
Original languageEnglish
JournalCurrent Opinion in Food Science
Volume19
Pages (from-to)129-137
ISSN2214-7993
DOIs
Publication statusPublished - 2018

Bibliographical note

Under a Creative Commons license

Keywords

  • Food Science
  • Applied Microbiology and Biotechnology

Cite this

Plaza-Rodrigues, Carolina ; Ungaretti Haberbeck, Leticia ; Desvignes, Virginie ; Dalgaard, Paw ; Sanaa, Moez ; Nauta, Maarten ; Filter, Matthias ; Guillier, Laurent. / Towards transparent and consistent exchange of knowledge for improved microbiological food safety. In: Current Opinion in Food Science. 2018 ; Vol. 19. pp. 129-137.
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abstract = "Predictive microbial modelling and quantitative microbiological risk assessment, two important and complementary areas within the food safety community, are generating a variety of scientific knowledge (experimental data and mathematical models) and resources (databases and software tools) for the exploitation of this knowledge. However, the application and reusability of this knowledge is still hampered as the access to this knowledge and the exchange of information between databases and software tools are currently difficult and time consuming. To facilitate transparent and consistent knowledge access and exchange new tools and community resources are needed. These resources will promote the creation of a public microbiological food safety knowledge repository encompassing available data and models. However, essential components are currently missing, such as open data formats supported by different software tools and consistent rules for knowledge annotation. The knowledge repository would be a user friendly tool to benefit different users within the microbiological food safety community, especially users like risk assessors and managers, model developers and research scientists working in the private sector (e.g. food industries, consultancy companies), research institutes or food authorities.",
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Towards transparent and consistent exchange of knowledge for improved microbiological food safety. / Plaza-Rodrigues, Carolina; Ungaretti Haberbeck, Leticia; Desvignes, Virginie; Dalgaard, Paw; Sanaa, Moez; Nauta, Maarten; Filter, Matthias; Guillier, Laurent.

In: Current Opinion in Food Science, Vol. 19, 2018, p. 129-137.

Research output: Contribution to journalJournal articleResearchpeer-review

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T1 - Towards transparent and consistent exchange of knowledge for improved microbiological food safety

AU - Plaza-Rodrigues, Carolina

AU - Ungaretti Haberbeck, Leticia

AU - Desvignes, Virginie

AU - Dalgaard, Paw

AU - Sanaa, Moez

AU - Nauta, Maarten

AU - Filter, Matthias

AU - Guillier, Laurent

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AB - Predictive microbial modelling and quantitative microbiological risk assessment, two important and complementary areas within the food safety community, are generating a variety of scientific knowledge (experimental data and mathematical models) and resources (databases and software tools) for the exploitation of this knowledge. However, the application and reusability of this knowledge is still hampered as the access to this knowledge and the exchange of information between databases and software tools are currently difficult and time consuming. To facilitate transparent and consistent knowledge access and exchange new tools and community resources are needed. These resources will promote the creation of a public microbiological food safety knowledge repository encompassing available data and models. However, essential components are currently missing, such as open data formats supported by different software tools and consistent rules for knowledge annotation. The knowledge repository would be a user friendly tool to benefit different users within the microbiological food safety community, especially users like risk assessors and managers, model developers and research scientists working in the private sector (e.g. food industries, consultancy companies), research institutes or food authorities.

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