Research Graph schema is an accessible meta-model for connecting research objects. This schema is designed to provide a practical approach to construct large scale graphs from a distributed network of scholarly works, by following these design principles:
This schema enables the rapid development of local, national, or domain-specific research graphs with a trade-off between practicality and completeness.
The National Graph project is a collaborative approach to building a national-level graph of persistent identifiers. This capability provides insights into the collaborations between Australian research institutions, industry, and international partners.
Exploring the collaboration network of researchers by building an interoperable graph of research collaboration networks in Australia and internationally. The aim is to visualise how researchers collaborate in different domains across universities.
GESIS – Leibniz-Institute for the Social Sciences is the largest infrastructure institution for the Social Sciences in Germany. With more than 300 employees in two locations (Mannheim and Cologne) GESIS render substantial, nationally and internationally relevant research-based infrastructure services.
The National Computational Infrastructure (NCI) hosts 10+ Pbytes research data collections on it high-performance file systems, co-located with high-performance computing resources. NCI has developed a connected graph that shows the connections between research datasets, publications, researcher profiles and grants across research repositories and infrastructures such as DataCite and ORCID.