Published June 24, 2020 | Version v1
Presentation Open

Introduction to the first round of Platforms projects

  • 1. Australian Research Data Commons (ARDC)
  • 2. Macquarie University
  • 3. Monash University
  • 4. UNSW
  • 5. University of Sydney
  • 6. AURIN
  • 7. Australian BioCommons
  • 8. Griffith University
  • 9. ANU

Description

The "Introduction to the first round of Platforms projects" showcased the 10 projects from the ARDC Platforms program that commenced in 2020. The Platforms program aims to increase the number of researchers with access to platforms, both in terms of absolute number and in terms of diversity of disciplines. Platforms are “a set of online services, often with associated integration and/or orchestration functions and connections to specific data resources, that is intended to enable researchers to carry out some of their research activities”. Platforms are also called virtual research environments or virtual laboratories.

This presentation includes:

  • FAIMS 3.0 Electronic Field Notebooks - Shawn Ross (Macquarie University)
  • The Australian Characterisation Commons at Scale - Wojtek James Goscinski (Monash University)
  • E-Research Institutional Cloud Architecture (ERICA): secure cloud computing for sensitive microdata - Louisa Jorm (UNSW)
  • Australian Imaging Service - Ryan Sullivan (University of Sydney)
  • Australian Transport Research Cloud - Stuar Barr (AURIN)
  • The BioCommons BYOD Expansion Project - Nigel Ward (Australian BioCommons)
  • EcoCommons Australia - Elisa Bayraktarov (Griffith University)
  • Environments to accelerate Machine Learning-Based Discovery - Komathy Padmanabhan (Monash University)
  • Establishing Australia’s Scalable Drone Cloud - Steve Quenette (Monash University)
  • CADRE: Coordinated Access for Data, Researchers and Environments - Steven McEachern (ANU)


The video recording of this session can be viewed on ARDC's YouTube channel:  https://youtu.be/Ig2yIld4ZYM

Files

Introduction_Platforms_Projects.pdf

Files (11.9 MB)

Name Size Download all
md5:ddd13a2e8660977b3a41cfdabf0b7b79
11.9 MB Preview Download