Making Research Connected
Discoverable and Citable
Research Graph Schema
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:
- Inexpensive metadata harmonisation by providing a simplified data model,
- Efficient storage and compute by providing a lean model that enables highly efficient graph algorithm on graphs more than 100M nodes, and
- Ease of use for developers and data scientists, making the Research Graph model highly accessible and interoperable.
This schema enables the rapid development of local, national, or domain-specific research graphs with a trade-off between practicality and completeness.
Collaborative Projects
National (PID) Graph
Augment-API
Research Graph Team
COVID-19 Research Graph
GESIS Research Graph
NCI Research Graph
Created by and Building International Collaboration










Research Graph Publications and Presentations
2021
Exploring the connections between ORCID and other identifiers using Augment API Conference
eResearch Australasia Conference, 2021.
Organisational Identifiers for Research Infrastructure Conference
eResearch Australasia Conference, 2021.
Sensitive data and information standards – shared territory with rich rewards Conference
eResearch Australasia Conference, 2021.
Knowledge mining from Research Graph and Open Scholarly Works Conference
OASPA, 2021.
COVID-19 Collaboration Network using PID-graph Conference
PIDapalooza, 2021.
2020
COVID-19 Collaboration Network Conference
eResearch Australasia Conference, 2020.
Creating spatial linked data collections for social science research using Schema.org Conference
eResearch Australasia Conference, 2020.
2019
Australian ORCID Research Graph Conference
eResearch Australasia Conference, 2019.
Visualising Institutional Collaboration using ORCID Data and Research Graph Conference
ARMS, 2019.
2018
A Research Graph dataset for connecting research data repositories using RD-Switchboard Journal Article
In: Scientific Data, vol. 5, pp. 180099, 2018.
For the complete list please refer to the researchgraph.org/collaborators/publications page.