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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
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685674/ https://www.ncbi.nlm.nih.gov/pubmed/31406900 http://dx.doi.org/10.1016/j.dib.2019.104204 |
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author | 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 |
author_facet | 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 |
author_sort | Gésan-Guiziou, Geneviève |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-6685674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66856742019-08-12 Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience 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 Data Brief Agricultural and Biological Science 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). Elsevier 2019-07-22 /pmc/articles/PMC6685674/ /pubmed/31406900 http://dx.doi.org/10.1016/j.dib.2019.104204 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science 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 Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience |
title | Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience |
title_full | Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience |
title_fullStr | Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience |
title_full_unstemmed | Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience |
title_short | Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience |
title_sort | annotation data about multi criteria assessment methods used in the agri-food research: the french national institute for agricultural research (inra) experience |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685674/ https://www.ncbi.nlm.nih.gov/pubmed/31406900 http://dx.doi.org/10.1016/j.dib.2019.104204 |
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