Making Research Connected

Discoverable and Citable

Research Graph Schema

Researcher first name last name full name orcid scopus author id Researcher Research Data title author list doi publication year license size Research Data Organisation name country doi wikidata grid isni Organisation Publication title author list doi publication year scopus eid Publication Grant title purl participant list start year end year Grant Relationship from key to uri label R R R R R R R R R

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

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. Read More >


Research Graph Augment API transforms disconnected research information to a connected graph, and augment this graph with the data from the global network of scholarly works. Read More >

Research Graph Team

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. Read More >

COVID-19 Research Graph

Exploring the collaboration network of coronavirus research at the global level, and knowledge mining from coronavirus literature. Read More >

GESIS Research Graph

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. Read More >

NCI Research Graph

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. Read More >

Created by and Building International Collaboration

Research Graph has formed as an interoperability project derived from the outcome of the Research Data Alliance DDRI Working Groups in 2016. The group participants represented several national and international and institutions, software platforms and domain-specific repositories. We have transformed this project into an incubator for science and innovative projects empowered by the global networks of scholarly works and driven by talented and smart individuals from a number of international research institutes.
Australian National University
RMIT University
The University of Sydney
Swinburne University of Technology

Research Graph Publications and Presentations


Peter Vats, Martin Fenner, Amir Aryani, Jingbo Wang, Melroy Almeida

Exploring the connections between ORCID and other identifiers using Augment API Conference

eResearch Australasia Conference, 2021.


Melroy Almeida, Siobhann McCafferty, Amir Aryani, Peter Vats

Organisational Identifiers for Research Infrastructure Conference

eResearch Australasia Conference, 2021.


Steven McEachern, Ingrid Mason, John Scullen, Amir Aryani, Peter Vats

Sensitive data and information standards – shared territory with rich rewards Conference

eResearch Australasia Conference, 2021.


Amir Aryani

Knowledge mining from Research Graph and Open Scholarly Works Conference

OASPA, 2021.


Melroy Almeida, Amir Aryani

COVID-19 Collaboration Network using PID-graph Conference

PIDapalooza, 2021.



Melroy Almeida, Amir Aryani, Jingbo Wang

COVID-19 Collaboration Network Conference

eResearch Australasia Conference, 2020.


Marco Fahmi, Amir Aryani, Les Kneebone, Tom Verhelst

Creating spatial linked data collections for social science research using Conference

eResearch Australasia Conference, 2020.



Amir Aryani, Melroy Almeida, Benjamin Zapilko, Jingbo Wang, Peter Vats

Australian ORCID Research Graph Conference

eResearch Australasia Conference, 2019.


Amir Aryani, Melroy Almeida

Visualising Institutional Collaboration using ORCID Data and Research Graph Conference

ARMS, 2019.



Amir Aryani, Marta Poblet, Kathryn Unsworth, Jingbo Wang, Ben Evans, Anusuriya Devaraju, Brigitte Hausstein, Claus-Peter Klas, Benjamin Zapilko, Samuele Kaplun

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 page.