Poster Open Access
Zhao, Zhiming; Wibisono, A; Grosso, Paola; Los, Wouter; De Laat, Cees; Chen, Yin; Hardisty, Alex; Martin, Paul; Atkinson, Malcolm; Schentz, Helbert; Magagna, Barbara
The interoperability between research infrastructures, including not only cross invocations of services, but also the integration between data schemas, processing models and management policies and security controls, is essential to enable large scale data driven experiments. Analysing functional gaps between research infrastructures and decomposing the interoperability issues into separated viewpoints promote a generic information linking model between data and services in infrastructures. This paper proposes a multi viewpoint framework namely Open e-Science Information Linking Model (OEILM) in the context of environmental research infrastructures to semantically link data and services among infrastructures.