Annotation data about multi criteria assessment methods used in the agri-food research: The French national institute for agricultural research (INRA) experience - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue (Data Paper) Data in Brief Année : 2019

Annotation data about multi criteria assessment methods used in the agri-food research: The French national institute for agricultural research (INRA) experience

Joël Aubin
Catherine Collet
Monique Delabuis
Regis Grateau
Vincent Martinet
Louis Georges Soler

Résumé

This data article contains annotation data characterizing MultiCriteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, http://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products. These data are stored in a public repository managed by INRA (https://data.inra.fr/; https://doi.org/10.15454/WB51LL).
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Dates et versions

hal-02263853 , version 1 (05-08-2019)

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Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales

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Citer

Geneviève Gésan-Guiziou, Aude Alaphilippe, Mathieu Andro, Joël Aubin, Christian Bockstaller, et al.. Annotation data about multi criteria assessment methods used in the agri-food research: The French national institute for agricultural research (INRA) experience. Data in Brief, 2019, 25, pp.104204. ⟨10.1016/j.dib.2019.104204⟩. ⟨hal-02263853⟩
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