Annotation data about multi criteria assessment methods used in the agri-food research: The French national institute for agricultural research (INRA) experience
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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Cite 10.15454/WB51LL Jeu de données 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, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/3SI1GB Jeu de données Alaphilippe, Aude; Collet, Catherine, 2019, "Annotation data about Multi Criteria Assessment Methods used in Plant Health and Environment: the French National Institute for Agricultural Research (INRA-SPE) experience", https://doi.org/10.15454/3SI1GB, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/5ZTATS Jeu de données Sabbadin, Régis, 2020, "Multiple Correspondance Analysis of annotated data about Multi Criteria Assessment Methods used in the agri-food research", https://doi.org/10.15454/5ZTATS, Recherche Data Gouv, V1, UNF:6:2h32C6h35MO5zUic1tV09Q== [fileUNF]
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Cite 10.15454/FUGVMT Jeu de données Membré, Jeanne-Marie; Darmon, Nicole, 2019, "Annotation data about Multi Criteria Assessment Methods used in Microbiology and the Food Chain : the French National Institute for Agricultural Research (INRA-MICA) experience", https://doi.org/10.15454/FUGVMT, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/KTV4NG Jeu de données Collet, Catherine; Alaphilippe, Aude; Sabbadin, Régis, 2019, "Annotation data about Multi Criteria Assessment Methods used in Forest, Grassland and Freshwater Ecology: the French National Institute for Agricultural Research (INRA-EFPA) experience", https://doi.org/10.15454/KTV4NG, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/R2E0XD Jeu de données Buche, Patrice; Gesan-Guiziou, Geneviève; Kansou, Kamal; Tonda, Alberto, 2019, "Annotation data about Multi Criteria Assessment Methods used in Science for Food and Bioproduct Engineering : the French National Institute for Agricultural Research (INRA-CEPIA) experience", https://doi.org/10.15454/R2E0XD, Recherche Data Gouv, V4, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/RSFBTX Jeu de données Bockstaller, Christian; van der Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in Environment and Agronomy : the French National Institute for Agricultural Research (INRA-EA) experience", https://doi.org/10.15454/RSFBTX, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/RZKKWG Jeu de données Martinet, Vincent; Soler, Louis-georges, 2019, "Annotation data about Multi Criteria Assessment Methods used in Social Science, Agriculture and Food, Rural Development and Environment : the French National Institute for Agricultural Research (INRA-SAE2) experience", https://doi.org/10.15454/RZKKWG, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/T5J8EP Jeu de données Christian, Bockstaller; Alaphilippe, Aude; Gésan-Guiziou, Geneviève, 2019, "Annotation data about Multi Criteria Assessment Methods used in Science for Plant Biology and Breeding: the French National Institute for Agricultural Research (INRA-BAP) experience", https://doi.org/10.15454/T5J8EP, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/TW5WAX Jeu de données Thiollet-Scholtus, Marie; Bockstaller, Christian, 2019, "Annotation data about Multi Criteria Assessment Methods used in Science for Action and Development: the French National Institute for Agricultural Research (INRA-SAD) experience", https://doi.org/10.15454/TW5WAX, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/UTACZ6 Jeu de données Sabbadin, Régis; Gésan-Guiziou, Geneviève, 2019, "Annotation data about Multi Criteria Assessment Methods used in Animal Health: the French National Institute for Agricultural Research (INRA-SA) experience", https://doi.org/10.15454/UTACZ6, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/VHDQB8 Jeu de données Sabbadin, Régis; Gésan-Guiziou, Geneviève, 2019, "Annotation data about Multi Criteria Assessment Methods used in Applied Mathematics and Informatics: the French National Institute for Agricultural Research (INRA-MIA) experience", https://doi.org/10.15454/VHDQB8, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/XQONFE Jeu de données Darmon, Nicole; Membré, Jeanne-Marie, 2019, "Annotation data about Multi Criteria Assessment Methods used in Nutrition, Chemical Food Safety and Consumer Behaviour : the French National Institute for Agricultural Research (INRA-ALIMH) experience", https://doi.org/10.15454/XQONFE, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
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Cite 10.15454/YOZ5LV Jeu de données Aubin, Joël; Botreau, Raphaëlle, 2019, "Annotation data about Multi Criteria Assessment Methods used in Animal Physiology and Livestock Systems : the French National Institute for Agricultural Research (INRA-PHASE) experience", https://doi.org/10.15454/YOZ5LV, Recherche Data Gouv, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]