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Digital artifacts reveal development and diffusion of climate research
Research for development organizations generate tremendous amount of accessible knowledge, but given their scale, time and resource constraints, the impact of outputs is not systematically analyzed. This is because traditional bibliometric analyses present limitations to synthesize accumulated knowl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391477/ https://www.ncbi.nlm.nih.gov/pubmed/35986028 http://dx.doi.org/10.1038/s41598-022-17717-8 |
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author | Carneiro, Bia Resce, Giuliano Sapkota, Tek B |
author_facet | Carneiro, Bia Resce, Giuliano Sapkota, Tek B |
author_sort | Carneiro, Bia |
collection | PubMed |
description | Research for development organizations generate tremendous amount of accessible knowledge, but given their scale, time and resource constraints, the impact of outputs is not systematically analyzed. This is because traditional bibliometric analyses present limitations to synthesize accumulated knowledge and retrofitting indicators to historical outputs. To address these shortcomings, this study proposes an integrated, web-based approach to systematically analyze the production and diffusion of knowledge from large-scale research programs, using climate research of the International Maize and Wheat Improvement Center (CIMMYT) as a case study. Our analytical framework employs text mining, social network analysis and hyperlink analysis to an unstructured mass of publicly available digital artifacts such as institutional repositories, citation databases, and social media to uncover narratives, dynamics, and relationships. Findings show CIMMYT’s climate research is strongly incorporated into a holistic systems approach and that the institution is actively engaged in knowledge exchanges with key actors from the scientific, development and public policy communities. The proposed analytical framework establishes an effective approach for research for development organizations to leverage existing online data sources to assess the extent of their knowledge production, dissemination, and reach. |
format | Online Article Text |
id | pubmed-9391477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93914772022-08-21 Digital artifacts reveal development and diffusion of climate research Carneiro, Bia Resce, Giuliano Sapkota, Tek B Sci Rep Article Research for development organizations generate tremendous amount of accessible knowledge, but given their scale, time and resource constraints, the impact of outputs is not systematically analyzed. This is because traditional bibliometric analyses present limitations to synthesize accumulated knowledge and retrofitting indicators to historical outputs. To address these shortcomings, this study proposes an integrated, web-based approach to systematically analyze the production and diffusion of knowledge from large-scale research programs, using climate research of the International Maize and Wheat Improvement Center (CIMMYT) as a case study. Our analytical framework employs text mining, social network analysis and hyperlink analysis to an unstructured mass of publicly available digital artifacts such as institutional repositories, citation databases, and social media to uncover narratives, dynamics, and relationships. Findings show CIMMYT’s climate research is strongly incorporated into a holistic systems approach and that the institution is actively engaged in knowledge exchanges with key actors from the scientific, development and public policy communities. The proposed analytical framework establishes an effective approach for research for development organizations to leverage existing online data sources to assess the extent of their knowledge production, dissemination, and reach. Nature Publishing Group UK 2022-08-19 /pmc/articles/PMC9391477/ /pubmed/35986028 http://dx.doi.org/10.1038/s41598-022-17717-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Carneiro, Bia Resce, Giuliano Sapkota, Tek B Digital artifacts reveal development and diffusion of climate research |
title | Digital artifacts reveal development and diffusion of climate research |
title_full | Digital artifacts reveal development and diffusion of climate research |
title_fullStr | Digital artifacts reveal development and diffusion of climate research |
title_full_unstemmed | Digital artifacts reveal development and diffusion of climate research |
title_short | Digital artifacts reveal development and diffusion of climate research |
title_sort | digital artifacts reveal development and diffusion of climate research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391477/ https://www.ncbi.nlm.nih.gov/pubmed/35986028 http://dx.doi.org/10.1038/s41598-022-17717-8 |
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