ANDS Logo

Data collections can be seen on:

http://services.ands.org.au/home/orca/rda/search#!/q=*%3A*/p=1/tab=All/group=The%20University%20of%20Melbourne/subject=NEUROSCIENCES

Software is available at:

https://code.google.com/archive/p/xml-transformation-tool/

Programming language(s):

Java, javascriptThe DC3D project team has completed the implementation of functionality for exporting metadata directly from the local Mediaflux-based system (called DaRIS) in compliance with RIF-CS requirements. The pipeline to connect the local system to the University Research Data Registry (RDR) has been established and metadata is now exported from DaRIS to the RDR.

Categories:

Observational Instruments (e.g. from telescope, camera, etc.)

Project Members:

Owen O'Neill (ooneill@unimelb.edu.au)

King Chiu (king.chiu@versi.edu.au)

Neil Killeen (nkilleen@unimelb.edu.au)

Simon Porter (simon.porter@unimelb.edu.au)

ANDS Contact:

Richard Ferrers (richard.ferrers@ands.org.au)

Project Status:

Completed

Federated Neuroimaging Collections in the National Data Commons

University of Melbourne

Collaborator(s): VeRSI

Project Description

Final Report:
The Distributed and Reflective Informatics System (DaRIS) is a raw data management system based on the Mediaflux digital asset management platform and has been in operation for the last 4 years at the Neuroimaging Computational and Data Management Facility (CDMF). There it has been used to routinely receive Magnetic Resonance (MR) images directly from MR scanners (e.g. from the Royal Children’s Hospital) for researchers and organise them into a subject-centric data model, ready for access by project members. It hosts over 70 animal and human projects, each with many tens of subjects and some with time-dependent data.

During this project, the local DaRIS metadata schema was mapped to the ANDS RIF-CS metadata schema, and functionality was developed, tested and implemented to export metadata about research data collections hosted in DaRIS to the University’s Research Data Registry (RDR). From the RDR, this metadata is then harvested to Research Data Australia. Several improvements to metadata structure and quality as well as process were implemented as a result of this engagement.

DaRIS is deployed to a number of facilities in Australia (it is the informatics technology for the National Imaging Facility) and so these other instances are able to leverage this ANDS-related DaRIS infrastructure work.


Previous:"DaRIS is a raw data management system based on the Mediaflux digital asset management platform and has been in operation for the last 3 years at the Neuroimaging Computational and Data Management Facility (CDMF). There it has been used to routinely receive MR images from researchers and organise them into a subject-centric data model, ready for access by project members. It hosts over 70 mouse and human projects, each with many tens of subjects and some with time-dependent data.

- Map DaRIS project-metadata to the ANDS schema
- Write a DaRIS service to populate ANDS-compliant metadata,
- Develop an adapter to harvest the ANDS-compliant metadata from DaRIS
- Connect identifiers within DaRIS to ANDS persistent identifiers (PIDs)."

Data Type:

Magnetic Resonance images.

High Level Software Functionality:

Features: ;
Download link: https://code.google.com/archive/p/xml-transformation-tool/;
Java, javascript

The DC3D project team has completed the implementation of functionality for exporting metadata directly from the local Mediaflux-based system (called DaRIS) in compliance with RIF-CS requirements. The pipeline to connect the local system to the University Research Data Registry (RDR) has been established and metadata is now exported from DaRIS to the RDR.

ANZSRC-FOR code:

11 MEDICAL AND HEALTH SCIENCES