Data visualization of complex research systems aligned with the sustainable development goals.

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Frontiers in Big Data Pub Date : 2025-06-09 eCollection Date: 2025-01-01 DOI:10.3389/fdata.2025.1562557
Francisco Carlos Paletta, Audilio Gonzalez-Aguilar, Lise Verlaet
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引用次数: 0

Abstract

This study presents a methodological framework for visualizing the alignment between complex research systems and the Sustainable Development Goals (SDGs), using CIRAD as a case study. By leveraging advanced data visualization and bibliometric analysis, the research maps CIRAD's publications to the SDGs and explores thematic priorities and institutional collaborations. The findings underscore CIRAD's significant contributions to climate action, food security, biodiversity conservation, and rural development. The integration of complex systems theory and network analysis enhances understanding of SDG interlinkages and provides actionable insights for strategic decision-making in research governance.

符合可持续发展目标的复杂研究系统的数据可视化。
本研究提出了一个方法框架,用于可视化复杂研究系统与可持续发展目标(sdg)之间的一致性,并以CIRAD为案例研究。通过利用先进的数据可视化和文献计量分析,该研究将CIRAD的出版物与可持续发展目标相结合,并探索主题优先事项和机构合作。这些发现强调了CIRAD对气候行动、粮食安全、生物多样性保护和农村发展的重大贡献。复杂系统理论和网络分析的整合增强了对可持续发展目标相互联系的理解,并为研究治理中的战略决策提供了可操作的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
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