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Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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New research projects

MeatIntegrate

New project : Meat'Integrate

Microbial Risk Assessment of Meat, From the Farm to Fork: Integrating Knowledge, Data and Existing Models into an Innovative Quantitative Risk...
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ALTEROBIO

ALTEROBIO : Séquencer le microbiote de l’usine agro-alimentaire [Projet Régional Pays de la Loire]

Application à la production de saumon fumé.
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SAFEFISH DISH

SAFEFISH DISH The control of the microbiological safety of seafood products

Improve the sensorial and microbiological quality of seafood products and ensure food safety from harvest to consumer
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Nicolas Helsens

Nicolas Helsens (2017-2020)

Caractérisation des communautés bactériennes et des gènes de résistance aux antibiotiques dans le poisson d'élevage - Application à la...
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Juliana de Oliveira Mota

Juliana de Oliveira Mota (2016-2019)

Health Risk-Benefit assessment associated with preperation and consumption of beef meat. Methodological approach (J.M. Membré, F. Pierre (ToxAlim),...
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BIOMICS

BIOMICS Omic Biomarkers of bacterial adaptation [French inter-regional Brittany - Pays de la Loire project]

Innovative methodology combining transcriptomics, statistics, and modelling to evaluate the capacity of Campylobacter jejuni to survive stress
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REDLOSSES

REDLOSSES REDucing food LOSSES by microbial spoilage prediction [French ANR Project]

Dynamics of bacterial communities and sensorial characteristics to predict meat product spoilage
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