Text mining national commitments towards agrobiodiversity conservation and use

Capturing countries’ commitments for measuring and monitoring progress towards certain goals, including the Sustainable Development Goals (SDGs), remains underexplored. The Agrobiodiversity Index bridges this gap by using text mining techniques to quantify countries’ commitments towards safeguarding...

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Autores principales: Juventia, Stella D., Jones, Sarah K., Laporte, Marie-Angélique, Remans, Roseline, Villani, Chiara, Estrada-Carmona, Natalia
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/109147
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author Juventia, Stella D.
Jones, Sarah K.
Laporte, Marie-Angélique
Remans, Roseline
Villani, Chiara
Estrada-Carmona, Natalia
author_browse Estrada-Carmona, Natalia
Jones, Sarah K.
Juventia, Stella D.
Laporte, Marie-Angélique
Remans, Roseline
Villani, Chiara
author_facet Juventia, Stella D.
Jones, Sarah K.
Laporte, Marie-Angélique
Remans, Roseline
Villani, Chiara
Estrada-Carmona, Natalia
author_sort Juventia, Stella D.
collection Repository of Agricultural Research Outputs (CGSpace)
description Capturing countries’ commitments for measuring and monitoring progress towards certain goals, including the Sustainable Development Goals (SDGs), remains underexplored. The Agrobiodiversity Index bridges this gap by using text mining techniques to quantify countries’ commitments towards safeguarding and using agrobiodiversity for healthy diets, sustainable agriculture, and effective genetic resource management. The Index extracts potentially relevant sections of official documents, followed by manual sifting and scoring to identify agrobiodiversity-related commitments and assign scores. Our aim is to present the text mining methodology used in the Agrobiodiversity Index and the calculated commitments scores for nine countries while identifying methodological improvements to strengthen it. Our results reveal that levels of commitment towards using and protecting agrobiodiversity vary between countries, with most showing the strongest commitments to enhancing agrobiodiversity for genetic resource management followed by healthy diets. No commitments were found in any country related to some specific themes including varietal diversity, seed diversity, and functional diversity. The revised text mining methodology can be used for benchmarking, learning, and improving policies to enable conservation and sustainable use of agrobiodiversity. This low-cost, rapid, remotely applicable approach to capture and analyse policy commitments can be readily applied for tracking progress towards meeting other sustainability objectives.
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spelling CGSpace1091472025-11-12T05:49:55Z Text mining national commitments towards agrobiodiversity conservation and use Juventia, Stella D. Jones, Sarah K. Laporte, Marie-Angélique Remans, Roseline Villani, Chiara Estrada-Carmona, Natalia text mining measuring instruments monitoring and evaluation agrobiodiversity sustainability diets genetic resources conservation agriculture minería de textos instrumentos de medición seguimiento y evaluación Capturing countries’ commitments for measuring and monitoring progress towards certain goals, including the Sustainable Development Goals (SDGs), remains underexplored. The Agrobiodiversity Index bridges this gap by using text mining techniques to quantify countries’ commitments towards safeguarding and using agrobiodiversity for healthy diets, sustainable agriculture, and effective genetic resource management. The Index extracts potentially relevant sections of official documents, followed by manual sifting and scoring to identify agrobiodiversity-related commitments and assign scores. Our aim is to present the text mining methodology used in the Agrobiodiversity Index and the calculated commitments scores for nine countries while identifying methodological improvements to strengthen it. Our results reveal that levels of commitment towards using and protecting agrobiodiversity vary between countries, with most showing the strongest commitments to enhancing agrobiodiversity for genetic resource management followed by healthy diets. No commitments were found in any country related to some specific themes including varietal diversity, seed diversity, and functional diversity. The revised text mining methodology can be used for benchmarking, learning, and improving policies to enable conservation and sustainable use of agrobiodiversity. This low-cost, rapid, remotely applicable approach to capture and analyse policy commitments can be readily applied for tracking progress towards meeting other sustainability objectives. 2020-09 2020-09-01T14:08:24Z 2020-09-01T14:08:24Z Journal Article https://hdl.handle.net/10568/109147 en Open Access application/pdf MDPI Juventia, S.D.; Jones, S.K.; Laporte, M.-A.; Remans, R.; Villani, C.; Estrada Carmona, N. (2020) Text mining national commitments towards agrobiodiversity conservation and use. Sustainability 12(2): 715. ISSN: 2071-1050
spellingShingle text mining
measuring instruments
monitoring and evaluation
agrobiodiversity
sustainability
diets
genetic resources
conservation agriculture
minería de textos
instrumentos de medición
seguimiento y evaluación
Juventia, Stella D.
Jones, Sarah K.
Laporte, Marie-Angélique
Remans, Roseline
Villani, Chiara
Estrada-Carmona, Natalia
Text mining national commitments towards agrobiodiversity conservation and use
title Text mining national commitments towards agrobiodiversity conservation and use
title_full Text mining national commitments towards agrobiodiversity conservation and use
title_fullStr Text mining national commitments towards agrobiodiversity conservation and use
title_full_unstemmed Text mining national commitments towards agrobiodiversity conservation and use
title_short Text mining national commitments towards agrobiodiversity conservation and use
title_sort text mining national commitments towards agrobiodiversity conservation and use
topic text mining
measuring instruments
monitoring and evaluation
agrobiodiversity
sustainability
diets
genetic resources
conservation agriculture
minería de textos
instrumentos de medición
seguimiento y evaluación
url https://hdl.handle.net/10568/109147
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