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

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 an...

Full description

Saved in:
Bibliographic Details
Published in:Data in brief 2019-08, Vol.25, p.104204-104204, Article 104204
Main Authors: Gésan-Guiziou, Geneviève, Alaphilippe, Aude, Andro, Mathieu, Aubin, Joël, Bockstaller, Christian, Botreau, Raphaëlle, Buche, Patrice, Collet, Catherine, Darmon, Nicole, Delabuis, Monique, Girard, Agnès, Grateau, Régis, Kansou, Kamal, Martinet, Vincent, Membré, Jeanne-Marie, Sabbadin, Régis, Soler, Louis-Georges, Thiollet-Scholtus, Marie, Tonda, Alberto, Van-Der-Werf, Hayo
Format: Article
Language:English
Subjects:
Agricultural and Biological Science
Food and Nutrition
Food engineering
INRA divisions
Life Sciences
Literature search query
Methodology
Multicriteria assessment
Multicriteria decision
Statistics
Trade-offs
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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).
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2019.104204