Data in Brief (Aug 2019)

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

  • 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

Journal volume & issue
Vol. 25

Abstract

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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