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

cg.contactplexaaron@ufl.eduen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Potato Center - CIPen_US
cg.contributor.centerThe French Agricultural Research Center for International Development - CIRADen_US
cg.contributor.centerUniversity of Florida - UFen_US
cg.contributor.crpCGIAR Research Program on Roots, Tubers and Bananas - RTBen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR Research Program on Roots, Tubers and Bananas - RTBen_US
cg.contributor.funderCGIAR Research Program on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.end-date2021-12-31en_US
cg.coverage.start-date2020-01-01en_US
cg.creator.idDe Col, Valentina: 0000-0003-0895-969Xen_US
cg.creator.idBonaiuti, Enrico: 0000-0002-4010-4141en_US
cg.creator.idProietti, Claudio: 0000-0002-3969-288Xen_US
cg.creator.idPhilip Craven Thiele, Graham: 0000-0002-3739-0431en_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.agsy.2024.104013en_US
cg.isijournalISI Journalen_US
cg.issn0308-521Xen_US
cg.journalAgricultural Systemsen_US
cg.subject.agrovocknowledge managementen_US
cg.subject.agrovocnetwork analysisen_US
cg.subject.agrovocagricultural innovationen_US
cg.volume219en_US
dc.contributorDe Col, Valentinaen_US
dc.contributorEtherton, Bereaen_US
dc.contributorXing, Yanruen_US
dc.contributorAgarwal, Amoghen_US
dc.contributorRamic, Lejlaen_US
dc.contributorBonaiuti, Enricoen_US
dc.contributorFriedmann, Michaelen_US
dc.contributorProietti, Claudioen_US
dc.contributorPhilip Craven Thiele, Grahamen_US
dc.contributorGarrett, Karenen_US
dc.creatorPlex, Aaronen_US
dc.date.accessioned2024-08-14T18:50:12Z
dc.date.available2024-08-14T18:50:12Z
dc.description.abstractCONTEXT 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.en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/96ed34ee16ddbcf83a611e829bdb6750en_US
dc.identifier.citationAaron Plex, Valentina De Col, Berea Etherton, Yanru Xing, Amogh Agarwal, Lejla Ramic, Enrico Bonaiuti, Michael Friedmann, Claudio Proietti, Graham Philip Craven Thiele, Karen Garrett. (1/8/2024). What traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for development. Agricultural Systems, 219.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/69477
dc.languageenen_US
dc.publisherElsevieren_US
dc.rightsCC-BY-4.0en_US
dc.sourceAgricultural Systems;219,(2024)en_US
dc.subjectweb of scienceen_US
dc.subjectscience of scienceen_US
dc.subjectscience mappingen_US
dc.subjectsuccessful research networksen_US
dc.titleWhat traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for developmenten_US
dc.typeJournal Articleen_US
dcterms.available2024-06-15en_US
dcterms.issued2024-08-01en_US
mel.impact-factor6.1en_US

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