What traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for development

Plex Sulá Aaron I., De Col Valentina, Etherton Berea A., Xing Yanru, Agarwal Amogh, Ramić Lejla, Bonaiuti Enrico, Friedmann Michael, Proietti Claudio, Thiele Graham, Garrett Karen A.. 2024. What traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for development. Agricultural Systems, 219:104013, 17 p.

https://doi.org/10.1016/j.agsy.2024.104013

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - jeu de données - Entrepôt autre : https://hdl.handle.net/20.500.11766.1/FK2/NHJDNA / Url - autres données associées : https://github.com/GarrettLab/CGIAR_research_networks

Résumé : CONTEXT: Understanding research collaboration in diverse scientific communities is key to building global agricultural research systems that support the UN Sustainable Development Goals. Characterizing collaboration patterns can inform decisions to enhance the structure and dynamics of research programs. OBJECTIVE: We introduce a new analytic framework for evaluating collaborative research networks based on scientific publications, and an associated conceptual framework for the role of research networks in achieving societal goals. We analyzed two CGIAR Research Programs: Grain Legumes and Dryland Cereals (GLDC) and Roots, Tubers and Bananas (RTB). The analysis provides a multi-dimensional perspective on a set of key questions related to research team composition, research management structures, and performance of scientific publications. METHODS: We quantified network structures of research collaborations at the level of authors, institutions, countries, and management structures, including use of temporal exponential random graph models. We used regression models to understand the associations between the characteristics of authors and publications, and the corresponding citation rates and Altmetric Attention Scores. RESULTS AND CONCLUSIONS: We identified key network hubs in the collaboration networks of both CGIAR programs. The proportion of women as authors in publications was less than a third, with a low likelihood of co-authorship between women. Institutional hubs were identified by institutional categories; these were often institutions that are considered CGIAR program “participants”, and a few were “planning partners”. For both GLDC and RTB, the countries that were the focus of most research coincided with the program's priority countries. Most international collaborations occurred between institutions headquartered in Global South countries, but most intercontinental collaborations occurred between Global South and Global North countries. Most institution and author co-authorships occurred in only one year and rarely lasted two or three consecutive years. High diversity in the geographic affiliations of authors, along with highly collaborative teams, as opposed to simply the number of authors, consistently were associated with more citations and higher Altmetric Attention Scores. SIGNIFICANCE: These analyses reveal key structures in research collaboration networks in GLDC and RTB research programs, with potential to guide agricultural research systems for sustainable development. Considering these outcomes from past research management can help scientists, program managers, and funders increase the success of new research projects. Specifically, future research management strategies need to fortify existing scientific capacity and development through gender parity and balanced international collaborations, working toward more impactful publications and increased development relevance, while team size increases over time.

Mots-clés Agrovoc : réseau de recherche, recherche agronomique, développement agricole, innovation agricole, analyse de réseau, gestion des ressources naturelles, programme de développement, programme de recherche

Mots-clés libres : Knowledge management, Network analysis, Science of science, Science mapping, Successful research networks, Web of Science, Agricultural innovation

Classification Agris : A50 - Recherche agronomique
E14 - Économie et politique du développement

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Agences de financement hors UE : Consortium of International Agricultural Research Centers, Centro Internacional de la Papa

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