Project Homepage:

Data collections can be seen on:!/group=The%20University%20of%20Melbourne/class=collection/

Data Management Policy/Procedure:

Software is available at:

Programming language(s):

Java, RDF


Integration metadata from various systems which are internal to an institution

Integration collection records, party records and activity records which may be external to an institution

Metadata Store Solutions

Metadata Feed/Harvest/Publish

Project Members:

Philip Kent (

Simon Porter (

Cyrus Keong (

ANDS Contact:

Richard Ferrers (

Project Status:


A 'turnkey' Research Data Registry solution for Australian research institutions (Phase 1)

University of Melbourne

Collaborator(s): Versi

Project Description

Final: In a connected information environment, an Institutional Research Data Registry plays a key role in the reuse and public dissemination of existing research administration data, both outwardly to the data commons, as well as internally towards research groups, providing consistent contextual structures around which to describe research data sets.

At the beginning of the University of Melbourne's metadata stores project, the University began with the view that a metadata store was both an aggregation hub for metadata from data capture projects, as well as a research data registry for registering the location of all data sets across across the University.

Over the course of the metadata stores project, the registry has demonstrated a capacity to record research data records directly, as well as an ability to integrate both with seeding the commons initiatives, and one of the largest portfolios of data capture projects funded within Australian Universities. The metadata store is now the source of over 1000 research data records in Research Data Australia, achieving greater exposure of many significant collections than had in past been possible. A second phase of the project, to use the registry as an administrative system begins in Q4 2012.

Initial: Build metadata hub based on the VITRO codebase around VIVO, a semantic web, triplestore-based approach to gathering and sharing research data. The VIVO ontology has been enhanced to support ANDS requirements, and the enhancements (called the ANDS VITRO ontology) are being built as a community initiative involving several Australian universities. Build automated connectors to VITRO from university systems (HR, Research Office).

Function 1- Work Package 1 provides a research data connector to vitro to populate vitro with information required to contextualize descriptions of research data sets (university researchers, grants, organizations, publications) . Information will be described via the VIVO ontology

Function 2- Work Package 2 provides a means of extracting the information about research data sets contained in Vitro, and exposing them via a harvest point to ANDS using OAICAT

High Level Software Functionality:

Features: ; Research Data Connector and OAICAT harvesting point.