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

cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationUniversity of Floridaen
cg.contributor.affiliationInternational Center for Agricultural Research in Dry Areasen
cg.contributor.affiliationInternational Potato Centeren
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique Pour le Développementen
cg.contributor.crpGrain Legumes and Dryland Cereals
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.donorCGIAR Trust Funden
cg.coverage.countryIndia
cg.coverage.countryEthiopia
cg.coverage.countryKenya
cg.coverage.countryNigeria
cg.coverage.countryMali
cg.coverage.countryUganda
cg.coverage.countryPeru
cg.coverage.countryTanzania
cg.coverage.countryMalawi
cg.coverage.countryVietnam
cg.coverage.iso3166-alpha2IN
cg.coverage.iso3166-alpha2ET
cg.coverage.iso3166-alpha2KE
cg.coverage.iso3166-alpha2NG
cg.coverage.iso3166-alpha2ML
cg.coverage.iso3166-alpha2UG
cg.coverage.iso3166-alpha2PE
cg.coverage.iso3166-alpha2TZ
cg.coverage.iso3166-alpha2MW
cg.coverage.iso3166-alpha2VN
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.coverage.regionLatin America
cg.creator.identifierMichael Friedmann: 0000-0001-9109-4003en
cg.creator.identifierGraham Thiele: 0000-0002-3739-0431en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.agsy.2024.104013en
cg.isijournalISI Journalen
cg.issn1873-2267en
cg.journalAgricultural Systemsen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaSystems Transformation
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.cipCLIMATE-SMART AGRICULTUREen
cg.subject.cipBIGDATAen
cg.subject.cipCROP PROTECTION en
cg.subject.cipGENETIC RESOURCESen
cg.subject.impactAreaGender equality, youth and social inclusion
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 2 - Zero Hungeren
cg.subject.sdgSDG 5 - Gender Equalityen
cg.subject.sdgSDG 17 - Partnerships for the Goalsen
cg.volume219en
dc.contributor.authorPlex Sulá, A.I.en
dc.contributor.authorDe Col, Valentinaen
dc.contributor.authorEtherton, B.A.en
dc.contributor.authorYanru Xingen
dc.contributor.authorAgarwal, A.en
dc.contributor.authorRamić, L.en
dc.contributor.authorBonaiuti, Enricoen
dc.contributor.authorFriedmann, M.en
dc.contributor.authorProietti, Claudioen
dc.contributor.authorThiele, Grahamen
dc.contributor.authorGarrett, Karen A.en
dc.date.accessioned2024-06-17T14:20:17Zen
dc.date.available2024-06-17T14:20:17Zen
dc.identifier.urihttps://hdl.handle.net/10568/145290
dc.titleWhat traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for developmenten
dcterms.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
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.audienceDonorsen
dcterms.bibliographicCitationPlex Sulá, A.I.; De Col, V.; Etherton, B.A.; Xing, Y.; Agarwal, A.; Ramić, L.; Bonaiuti, E.; Friedmann, M.; Proietti, C.; Thiele, G.; Garrett, K.A. 2024. What traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for development. Agricultural Systems. ISSN 1873-2267. 219, 104013. 17 p. https://doi.org/10.1016/j.agsy.2024.104013en
dcterms.extent17 p.en
dcterms.issued2024-06-15en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.subjectknowledge managementen
dcterms.subjectnetwork analysisen
dcterms.subjectsciencesen
dcterms.subjectagricultural innovationen
dcterms.subjectgenderen
dcterms.typeJournal Article

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