Morea Fabio, Soraci Alberto, De Stefano Domenico
Area Science Park, Trieste, Friuli-Venezia Giulia, Italy.
Department of Economics, University of Messina, Messina, Italy.
Open Res Eur. 2025 Aug 7;4:268. doi: 10.12688/openreseurope.18544.2. eCollection 2024.
Horizon 2020 and Horizon Europe are flagship programs of the European Union aimed at supporting research and innovation, fostering collaboration among companies, academic institutions, and research organizations. Comprehensive data on projects, objectives, participants, funding details, and results of Horizon projects is available through the open access portal CORDIS (Community Research and Development Information Service). This paper introduces a novel methodology for utilizing CORDIS data to reveal collaborations, leadership roles, and their evolution over time.
The methodology is based on network analysis. Data is downloaded from the CORDIS portal, enriched, segmented by year and transformed into weighted networks representing collaborations between organizations. Centrality measures are used to assess the influence of individual organizations, while community detection algorithms are used to identify stable collaborations. Temporal analysis tracks the evolution of these roles and communities over time. To ensure robust and reliable results, the methodology addresses challenges such as input-ordering bias and result variability, while the exploration of the solution space enhances the accuracy of identified collaboration patterns.
To illustrate the approach, the methodology is applied to a specific case: analyse the evolution of collaborations in hydrogen valleys, in the broader frame of "hydrogen energy" research and innovation projects funded by Horizon programmes.
The proposed methodology effectively identifies influential organizations and tracks the stability of research collaborations. The insights gained are valuable for policy-makers and organizations seeking to foster innovation through sustained partnerships. This approach can be extended to other sectors, offering a framework for understanding the impact of EU research funding on collaboration and leadership dynamics.
“地平线2020”和“地平线欧洲”是欧盟的旗舰项目，旨在支持研究与创新，促进公司、学术机构和研究组织之间的合作。通过开放获取门户CORDIS（社区研究与发展信息服务）可获取有关“地平线”项目的项目、目标、参与者、资金细节和成果的全面数据。本文介绍了一种利用CORDIS数据揭示合作、领导角色及其随时间演变的新方法。
该方法基于网络分析。数据从CORDIS门户下载，进行丰富，按年份分段，并转换为代表组织间合作的加权网络。中心性度量用于评估单个组织的影响力，而社区检测算法用于识别稳定的合作关系。时间分析跟踪这些角色和社区随时间的演变。为确保结果的稳健性和可靠性，该方法应对了诸如输入排序偏差和结果变异性等挑战，同时对解决方案空间的探索提高了所识别合作模式的准确性。
为说明该方法，将其应用于一个具体案例：在由“地平线”计划资助的“氢能”研究与创新项目的更广泛框架内，分析氢谷合作的演变。
所提出的方法有效地识别了有影响力的组织，并跟踪了研究合作的稳定性。所获得的见解对于寻求通过持续伙伴关系促进创新的政策制定者和组织具有重要价值。这种方法可以扩展到其他领域，为理解欧盟研究资金对合作和领导动态的影响提供一个框架。
