Toward the development of NII RDC application profile using ontology technology

Abstract

　In recent years, there has been international progress in developing platforms that support the reproducibility and reusability of research data. Many platforms adopt a service architecture integrating multiple information systems to cover the entire research data lifecycle. In realizing this architecture, specifications for inheriting processes and results executed on different information systems play an essential role. In this study, we introduce our practices for application profile development in the NII Research Data Cloud (NII RDC). We developed an application profile using ontology theory and technology based on entities and key relationships extracted from the NII RDC user stories to enhance the interoperability of different domain models. This application profile is expected to promote understanding the processes performed and results among users in different domains and multiple infrastructures.