Abstract
| Original language | English |
|---|---|
| Journal | Current Opinion in Food Science |
| Volume | 19 |
| Pages (from-to) | 129-137 |
| ISSN | 2214-7993 |
| DOIs | |
| Publication status | Published - 2018 |
Bibliographical note
Under a Creative Commons licenseKeywords
- Food Science
- Applied Microbiology and Biotechnology
Cite this
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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 journal › Journal article › Research › peer-review
TY - JOUR
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
N1 - Under a Creative Commons license
PY - 2018
Y1 - 2018
N2 - 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.
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.
KW - Food Science
KW - Applied Microbiology and Biotechnology
U2 - 10.1016/j.cofs.2017.12.002
DO - 10.1016/j.cofs.2017.12.002
M3 - Journal article
VL - 19
SP - 129
EP - 137
JO - Current Opinion in Food Science
JF - Current Opinion in Food Science
SN - 2214-7993
ER -