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LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security

The main objective of the project LEAP4FNSSA (Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture) is to provide a tool for European and African institutions to engage in a sustainable partnership platform for research and innovation on Foo...

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Detalles Bibliográficos
Autores principales: Roche, Mathieu, Lindsten, Agneta, Lundén, Tomas, Helmer, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679707/
https://www.ncbi.nlm.nih.gov/pubmed/36425989
http://dx.doi.org/10.1016/j.dib.2022.108680
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author Roche, Mathieu
Lindsten, Agneta
Lundén, Tomas
Helmer, Thierry
author_facet Roche, Mathieu
Lindsten, Agneta
Lundén, Tomas
Helmer, Thierry
author_sort Roche, Mathieu
collection PubMed
description The main objective of the project LEAP4FNSSA (Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture) is to provide a tool for European and African institutions to engage in a sustainable partnership platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). The FNSSA roadmap facilitates the involvement of stakeholders for addressing and linking research to innovation dealing with food security issues. In this context, the LEAP4FNSSA project supports the driving of the roadmap. Research and innovation activities were captured in different data, i.e. LEAP4FNSSA database and heterogeneous textual data including project reports, websites, scientific publications, workshop reports and student theses. The Knowledge Extractor Pipeline System (KEOPS) was implemented to support the processing and analysis of textual data associated with FNSSA activities. KEOPS is based on the LEAP4FNSSA lexicon presented in this data paper. The LEAP4FNSSA lexicon composed of 331 keywords associated with 12 concepts of the food security domain is the result of 3 steps of work and brainstorming. The lexicon enables the capturing of research and innovation topics dealing with food security and conducted by African and European partners. This data paper presents the obtained lexicon and a summary of the method to build it.
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spelling pubmed-96797072022-11-23 LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security Roche, Mathieu Lindsten, Agneta Lundén, Tomas Helmer, Thierry Data Brief Data Article The main objective of the project LEAP4FNSSA (Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture) is to provide a tool for European and African institutions to engage in a sustainable partnership platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). The FNSSA roadmap facilitates the involvement of stakeholders for addressing and linking research to innovation dealing with food security issues. In this context, the LEAP4FNSSA project supports the driving of the roadmap. Research and innovation activities were captured in different data, i.e. LEAP4FNSSA database and heterogeneous textual data including project reports, websites, scientific publications, workshop reports and student theses. The Knowledge Extractor Pipeline System (KEOPS) was implemented to support the processing and analysis of textual data associated with FNSSA activities. KEOPS is based on the LEAP4FNSSA lexicon presented in this data paper. The LEAP4FNSSA lexicon composed of 331 keywords associated with 12 concepts of the food security domain is the result of 3 steps of work and brainstorming. The lexicon enables the capturing of research and innovation topics dealing with food security and conducted by African and European partners. This data paper presents the obtained lexicon and a summary of the method to build it. Elsevier 2022-10-17 /pmc/articles/PMC9679707/ /pubmed/36425989 http://dx.doi.org/10.1016/j.dib.2022.108680 Text en © 2022 The Authors https://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 Data Article
Roche, Mathieu
Lindsten, Agneta
Lundén, Tomas
Helmer, Thierry
LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security
title LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security
title_full LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security
title_fullStr LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security
title_full_unstemmed LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security
title_short LEAP4FNSSA lexicon: Towards a new dataset of keywords dealing with food security
title_sort leap4fnssa lexicon: towards a new dataset of keywords dealing with food security
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679707/
https://www.ncbi.nlm.nih.gov/pubmed/36425989
http://dx.doi.org/10.1016/j.dib.2022.108680
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