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

Genevieve Gesan-Guiziou 1 Aude Alaphilippe 2 Mathieu Andro 3 Joel Aubin 4 Christian Bockstaller 5 Raphaëlle Botreau 6 Patrice Buche 7 Catherine Collet 8 Nicole Darmon 9, 10 Monique Delabuis 4 Agnès Girard 11 Regis Grateau 12 Kamal Kansou 13 Vincent Martinet 12 Jeanne Marie Membre 14 Regis Sabbadin 15 Louis Georges Soler 16 Marie Thiollet-Scholtus 17 Alberto Tonda 18 Hayo Van-Der-Werf 19
Abstract : 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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Submitted on : Monday, August 5, 2019 - 8:06:53 PM
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Genevieve Gesan-Guiziou, Aude Alaphilippe, Mathieu Andro, Joel 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, Elsevier, 2019, 25, pp.104204. ⟨10.1016/j.dib.2019.104204⟩. ⟨hal-02263853⟩

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