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

Authors :
Geneviève Gésan-Guiziou
Aude Alaphilippe
Mathieu Andro
Joël Aubin
Christian Bockstaller
Raphaëlle Botreau
Patrice Buche
Catherine Collet
Nicole Darmon
Monique Delabuis
Agnès Girard
Régis Grateau
Kamal Kansou
Vincent Martinet
Jeanne-Marie Membré
Régis Sabbadin
Louis-Georges Soler
Marie Thiollet-Scholtus
Alberto Tonda
Hayo Van-Der-Werf
Source :
Data in Brief, Vol 25, Iss , Pp - (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

This data article contains annotation data characterizing Multi Criteria 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). Keywords: Literature search query, INRA divisions, Trade-offs, Multicriteria decision, Multicriteria assessment

Details

Language :
English
ISSN :
23523409
Volume :
25
Issue :
-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.373301e4d9047f2bad5bf8d02f1da55
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2019.104204