Project promotion materials:

Project Members:

David Groenewegen (

Anitha Kannan (

Patrick Splawa-Neyman (

Neil Dickson (

ANDS Contact:

Xiaobin Shen (

Project Status:


Monash University Imaging Locus Project

Monash University

Project Description

The imaging data generated by Monash’s instruments are an asset with the potential to focus the world’s attention on Monash’s significant research strength.
The Major Open Data Collections project has established initial collections of imaging data in a sustainable operational environment which will continue well into the future.
Our vision is to showcase significant imaging datasets in areas of particular strength, interest and value to the University and its collaborative partners and communities.

Detailed outcomes of Monash major open data project:
1. Imaging Locus
When launched the Imaging Locus will allow Monash research to be discoverable, and to display the research data, expertise, platforms and projects available through Monash University.
By combining the unique set of imaging instruments, world-leading capability in research data infrastructure and its existing world-class research strength, Monash University will become one of the most cited institutions in the world in imaging.
This locus of activities will result in critical research breakthroughs through the layering and superimposing of the various imaging modalities. It will also attract the best researchers and doctoral students to conduct research at Monash.
2. Research Data Management Guidelines
Guidelines have been written in order to encourage Monash researchers using Monash platforms and instruments to make their imaging datasets publicly accessible except for where there are strong reasons not to do so.
The importance of researcher control has been an intrinsic element. Opening imaging datasets where possible will lead to increased citations for researchers and greater data collaboration with other institutions.
3. MyTardis
MyTardis is a highly automated web application for data and metadata acquisition, data description, managing and assisting the sharing of large datasets in a private and secure way.
Its particular focus is on integration with scientific instruments, facilities and data and metadata storage, with the belief that the less effort a researcher has to expend safely storing data, the more likely they are to do so.

Data Type:

Image related data