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Data describing the relationship between world news and sustainable development goals

The data article presents a dataset and a tool for news-based monitoring of sustainable development goals defined by the United Nations. The presented dataset was created by structured queries of the GDELT database based on the categories of the World Bank taxonomy matched to sustainable development...

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Detalles Bibliográficos
Autores principales: Honti, Gergely, Czvetkó, Tímea, Sebestyén, Viktor, Abonyi, János
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047166/
https://www.ncbi.nlm.nih.gov/pubmed/33869697
http://dx.doi.org/10.1016/j.dib.2021.106978
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author Honti, Gergely
Czvetkó, Tímea
Sebestyén, Viktor
Abonyi, János
author_facet Honti, Gergely
Czvetkó, Tímea
Sebestyén, Viktor
Abonyi, János
author_sort Honti, Gergely
collection PubMed
description The data article presents a dataset and a tool for news-based monitoring of sustainable development goals defined by the United Nations. The presented dataset was created by structured queries of the GDELT database based on the categories of the World Bank taxonomy matched to sustainable development goals. The Google BigQuery SQL scripts and the results of the related network analysis are attached to the data to provide a toolset for the strategic management of sustainability issues. The article demonstrates the dataset on the 6th sustainable development goal (Clean Water and Sanitation). The network formed based on how countries appear in the same news can be used to explore the potential international cooperation. The network formed based on how topics of World Bank taxonomy appear in the same news can be used to explore how the problems and solutions of sustainability issues are interlinked.
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spelling pubmed-80471662021-04-16 Data describing the relationship between world news and sustainable development goals Honti, Gergely Czvetkó, Tímea Sebestyén, Viktor Abonyi, János Data Brief Data Article The data article presents a dataset and a tool for news-based monitoring of sustainable development goals defined by the United Nations. The presented dataset was created by structured queries of the GDELT database based on the categories of the World Bank taxonomy matched to sustainable development goals. The Google BigQuery SQL scripts and the results of the related network analysis are attached to the data to provide a toolset for the strategic management of sustainability issues. The article demonstrates the dataset on the 6th sustainable development goal (Clean Water and Sanitation). The network formed based on how countries appear in the same news can be used to explore the potential international cooperation. The network formed based on how topics of World Bank taxonomy appear in the same news can be used to explore how the problems and solutions of sustainability issues are interlinked. Elsevier 2021-03-24 /pmc/articles/PMC8047166/ /pubmed/33869697 http://dx.doi.org/10.1016/j.dib.2021.106978 Text en © 2021 The Author(s). Published by Elsevier Inc. 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
Honti, Gergely
Czvetkó, Tímea
Sebestyén, Viktor
Abonyi, János
Data describing the relationship between world news and sustainable development goals
title Data describing the relationship between world news and sustainable development goals
title_full Data describing the relationship between world news and sustainable development goals
title_fullStr Data describing the relationship between world news and sustainable development goals
title_full_unstemmed Data describing the relationship between world news and sustainable development goals
title_short Data describing the relationship between world news and sustainable development goals
title_sort data describing the relationship between world news and sustainable development goals
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047166/
https://www.ncbi.nlm.nih.gov/pubmed/33869697
http://dx.doi.org/10.1016/j.dib.2021.106978
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