Know more

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

Menu Logo Principal Logo SAS Logo de l'Institut Agro Rennes-Angers

Home page

The DATASUSFOOD project

Datasusfood-0

Structuring and Opening Data to Improve Sustainability of Food Systems

DATASUSFOOD

  • 2020-2022
  • 100 000 €
  • Coordinator: SayFood research unit (Caroline Pénicaud)
  • SAS contact: Julie Auberger
  • SAS research axis: Integrated Evaluation
  • Web site
  • Keywords: Interoperability, Structuration, Accessibility, Food engineering

Research

Multicriteria assessment of agrifood systems is essential to improve sustainability of food value chains. To perform such assessment, collecting and managing data on all agrifood system activities are of primary importance. There is a real need for tools to organise, store and share data related to the processing of agricultural products into food, a domain that currently is poorly documented. To this end, three complementary approaches have been developed by the largest research institute in agriculture, food and environment:

  1. the MEANS platform, which provides tools and databases for Life Cycle Assessment practitioners
  2. the BaGaTel database, structured by PO² ontology, which contains data about transformation processes and food products
  3. @Web, a web application which allows data tables to be managed using semantic web languages.

The aim of the DATASUSFOOD project is to develop an interoperable system which takes advantage of these three approaches to deliver open-access data in accordance with FAIR principles. Development of adequate software, modules and scripts for interoperability (WP1); data entry (WP2) and data accessibility (WP3) will be performed in close collaboration with computer scientists and users. Three case studies will support the project: production of cheese, industrial dairy protein powders and food packaging. Tools and open-access data produced by the DATASUSFOOD project will be highly valuable for scientists, technical institutes, industries and governmental agencies which deal with open-access data issues and/or sustainability goals related to agrifood systems.

MEANS-InOut software will be used to study the range of food processing.

SAS staff involved

Caroline Malnoë, Julie Auberger
External IT development: Julien Hilaire

Partners 

PLASTIC  software platform (INRAE)
MIA-Paris  (AgroParisTech, INRAE)
IATE  (INRAE, CIRAD, Université de Montpellier, Montpellier Supagro)
SayFood  (INRAE, AgroParisTech)
STLO  (INRAE, Agrocampus Ouest)
CSGA  (INRAE, CNRS, UB-FC, AgroSupDijon)
BIA  (INRAE)

Funding and Support

The DATASUSFOOD project is funded by ANR (French National Research Agency) under the reference ANR-19-DATA-0016, within the framework of the National Plan for Open Science, and the Flash call "Open science: research practices and open data".