Interoperability between VIVO and Research Graph, a new update for the Research Data Switchboard
The Switchboard software - the implementation of the DDRI WG recommendation - now has a new capability to exchange data with the VIVO platform. The Switchboard software has enabled the DDRI partners to create a network of scholarly works that link research data to publications, researchers, grants and other data collections across research repositories. We call this network Research Graph (researchgraph.org) that is formed as a distributed graph by DDRI partners such as Australian National Data Service (ANDS), Australian National Computational Infrastructure (NCI), National Institute of Informatics (NII Japan) and GESIS (Germany). This project enables connecting the nodes of this graph to the VIVO XML RDF records.
VIVO  originated at Cornell University and was developed as an open source enterprise system with Funding by the US National Institutes of Health 2009-2012. VIVO uses a collection of ontologies, including the VIVO Integrated Semantic Framework (VIVO-ISF ) to represent scholarship, and it is in use at more than 150 sites in 26 countries.
Open metadata regarding research outputs and scholarly activities can be assembled at the national level and made available as linked open data using existing tools and data models. The resulting large-scale, open, linked data can be used for research discovery. This project enables interoperability of research data across the network of open access scholarly communication enabled by VIVO software in more than 26 countries.
We have presented this work at the Open Access Repository Conference (OR2017) in Brisbane, Australia (http://dx.doi.org/10.4225/03/58ca600d726bd).
For further information please contact Amir Aryani (email@example.com).
 Börner, K., Conlon, M., Corson-Rikert, J., Ding, Y. (eds.) VIVO: A Semantic Approach to Scholarly Networking and
Discovery, Morgan-Claypool, 2012. p. 1-175.
 OpenRIF: VIVO integrated semantic framework data standard github repository. Web site (accessed on Nov 20, 2016), https://github.com/openrif/vivo-isf-ontology
 Amir Aryani, Data Description Registry Interoperability WG: Interlinking Method and Specification of Cross-Platform Discovery, Research Data Alliance, doi:10.15497/RDA00003