Visualising Researcher Collaboration and Linkage using ORCID Data and Research Graph

Mr Melroy Almeida1,Dr Amir Aryani2

1Australian Access Federation, Brisbane, Australia,

2Research Graph, Melbourne, Australia


eResearch Infrastructure comprising of systems, data, instruments and people supporting the infrastructure continues to evolve providing higher education institutions and research organisations with specialised research requirements. Australia is entering a period where significant distributed computing and data resources are being made available to researchers and higher education staff [1]. Persistent identifier infrastructure comprising of ORCID iDs (Open Researcher Contributor Identifier), DoI’s (Data object Identifier), RAiD’s (Research Activity Identifier) etc are essential tools for resource and research management but also benefit society by enabling global, interlinked Open Science and ensuring that benefits of research can be distributed and harvested over the long term [2].

As universities and research organisations start evolving into hotbeds for entrepreneurship and discovery [3, p. 2], eResearch is looked to as a vehicle that drives innovation. With today’s global environment where everything is connected, researchers from different institutions often collaborate to work towards common goals concerning technology, research or shared values. Do institutions sharing same socio-political environment have stronger linkages between their staff or will the underlying data paint a different picture?

In this presentation, the Australian Access Federation along with Research Graph, use exploratory data analysis on information obtained from aggregated ORCID records of Australian researchers to visualise collaborations and identify meaningful relationships and linkages between the institutions they work with.

ORCID – Connecting Researchers and Research Outputs

The Australian Access Federation (AAF) operates the Australian ORCID Consortium and collects statistics regarding ORCID integrations done by consortium members as well as the types of integrations.

Out of 40 consortium members, 29 have done different types of integration including custom integrations and integrations with vendor Research Information Management Systems (RIMS) like Symplectic Elements, PURE, ViVO, IRMA, Converis and Scholar One. With over 72% of consortium members with an ORCID integration, it would be interesting to see if any meaningful relationships and linkages can be gained.

Figure 2: ORCID best practices on Integration Implementation pathway

The presentation will look at insights derived from researchers aggregated ORCID data and determine if the strength of the linkages between institutions both domestic and international, are based on geographical or socio-political or common area of research expertise. A prototype is shown in Figure 3.

Figure 3: Prototype for visualisation of collaborations between Australian ORCID Consortium Integration Statistics

Connecting Australian ORCID PROFILES using Research Graph Technology

In a recent article in Nature Scientific Data [4], Research Graph team has published an open-access graph that captured the connections between Australian research datasets, publications and grants linked using Research Data Switchboard. In this work, we use this graph (Figure 3) and other datasets provided by Research Graph partners to map the collaboration between Australian ORCID Consortium members. In addition, Research Graph team has added the integration with Organisation Nodes such as GRID, Ringgold ID and Funders data to enable modelling the links between data and publications to research institutions.

The result of this work is newly established links that demonstrate the following connections

  • publication → researcher (ORCID) → affiliation → university
  • publication → grant → researcher (ORCID) → affiliation → university
  • dataset → researcher (ORCID) → affiliation → university
  • dataset → publication → researcher (ORCID) → university

We have used these connections to build our collaboration network for Australian ORCID Consortium members. In addition to the national level connections, this graph shows strong collaborations with international research institutions such as Cambridge (UK), CERN (Switzerland) and Cornell University (US).

In this talk, we will present the visualisation of this network, and discuss how researchers, research administrators, policymakers, and data managers can access this open graph.


[1]  Department of Education and A. G. Training, “Government response to 2016 National Research Infrastructure Roadmap | Department of Education and Training.” [Online]. Available: [Accessed: 23-May-2018].

[2]  A. Dappert, A. Farquhar, R. Kotarski, and K. Hewlett, “Connecting the Persistent Identifier Ecosystem: Building the Technical and Human Infrastructure for Open Research,” Data Science Journal, vol. 16, no. 0, p. 28, Jun. 2017.

[3]  “NMC Horizon Report Preview 2018.” [Online]. Available: [Accessed: 23-May-2018].

[4]  A. Aryani, M. Poblet, K. Unsworth, J. Wang, B. Evans, A. Devaraju, B. Hausstein, P. Klas, B.Zapilko, S. Kaplun, “A Research Graph dataset for connecting research data repositories using RD-Switchboard”, Nature Scientific Data, Volume 5, Pages 180099, 2018,


Melroy Almeida currently works at the Australian Access Federation (AAF) as their ORCID Technical Support Analyst. AAF is the consortium lead for the Australian ORCID Consortium and Melroy works with the Australian ORCID Consortium members on their ORCID implementations as well as assists them in planning their communication and engagement strategy.  Melroy has formal qualifications in information technology (M.InfoTech) and engineering (B.Tech) and over 10 years’ experience delivering information technology solutions within the higher education sector.

About the conference

eResearch Australasia provides opportunities for delegates to engage, connect, and share their ideas and exemplars concerning new information centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information.

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