Knowledge sharing and discovery across heterogeneous research infrastructures

Research infrastructures play an increasingly essential role in scientific research. They provide rich data sources for scientists, such as services and software packages, via catalog virtual research environments. However, are typically domain-specific often not connected. Accordingly, researchers practitioners face fundamental challenges introduced by fragmented knowledge from heterogeneous, autonomous with complicated uncertain relations particular domains. Additionally, the exponential growth rate of a specific domain surpasses human experts’ ability to formalize capture tacit explicit efficiently. Thus, management system is required discover effectively, automate acquisition based on artificial intelligence approaches, integrate captured knowledge, deliver consistent agents, communities, end-users. In this study, we present development process ENVironmental Research Infrastructures, which crucial pillars environmental scientists their quest understanding interpreting complex Earth System. Furthermore, report have faced discuss lessons learned during process.