Data collections can be seen on:!/q=*%3A*/p=1/tab=collection/type=dataset/group=Deakin%20University

Data Management Policy/Procedure:


Metadata Feed/Harvest/Publish

Project Members:

Michelle Watson (Data Source Administrator,

Megan Capicchiano (Project Manager,

ANDS Contact:

Richard Ferrers (

Project Status:


Description and discovery of research data collections available at Deakin University

Deakin University

Project Description

Final Report: The Seeding the Commons Project has been a great success at Deakin. It has delivered many benefits to the University, some that were anticipated at the beginning of the project and others that emerged along the way.

A total in excess of 53 collection records with associated party, activity and service records was delivered to Research Data Australia (RDA) by this Seeding the Commons Project. It was the intention that the collection records provided to RDA would cover a thorough cross section of the research being undertaken by the Institute for Frontier Materials (a research intensive area of the University).

A project website was created and can be viewed at Relevant documents including a brochure, presentation to researchers, proforma for the collection of metadata and a guide for describing data can be found here.

In addition to the website, the record templates and OAI-PMH code that Deakin developed to support the metadata records and RIF-CS output format have been made available via the Fez trunk, which is freely available for download from the University of Queensland’s website.

Project Plan Description: This project has the following key aims:

1. To record approximately 50 Deakin University research data collections from a number of key research areas on the ANDS Collections Registry to the standards required.
2. To test and develop sustainable processes for the capture of such information into the future, utilising Deakin University?s research repository, Deakin Research Online (a Fez/Fedora system).

High Level Software Functionality:

Features: OAI-PMH Harvesting RIF-CS records to RDA code;