Creating a data knowledge platform for ecosystem intellectual capital: the “Amelia” research infrastructure

Purpose This paper examines the creation and utilization of the AMELIA research infrastructure, a data knowledge platform, to increase the level of ecosystem intellectual capital, in its three dimensions, human, structural and relational. Design/methodology/approach This research integrates a literature review on ecosystem intellectual capital and data knowledge platform. Through a case study analysis, it investigates the implementation and effects of AMELIA, a sophisticated research infrastructure that holds various databases, to enhance intangible human, structural and relational assets at an ecosystem level. Findings AMELIA, as a data knowledge platform, supports and facilitates decision-making processes by data and multidisciplinary collaboration, transforming raw data into information and therefore knowledge. These advanced functionalities benefit local and non-local policy development, encourage social participation and improve operational efficiency for small and medium-sized enterprises and public or private organizations, thus affecting ecosystem intellectual capital. Originality/value This paper describes the characteristics of AMELIA as an innovative research infrastructure thanks to the integration of open innovation, knowledge management and a decision support system to effectively address contemporary challenges in ecosystem sustainable development by strategically using digital tools.