The CSIRO Conference on Computational and Data Intensive Science

Planning for Success – Panel of eResearch staff to answer Research Planning questions

Workshop summary

In this will interactive panel session team leaders from the various eResearch groups will attempt to answer questions from research staff.

The services represented include:

  • Scientific Software
  • Research Applications Support
  • Workflow
  • HPC Systems
  • Visualisation
  • Data Processing Services

The aim of the workshop is to illustrate how the various eResearch services available to CSIRO researchers can provide integrated platforms to support new and current research activities.

Depending on the problem domain being tackled, this might include exploring ways of improving application performance through parallelisation, automating manual processes, transitioning code from desktop PC to high-performance computing, optimising the management of large amounts of data, visualising complex 3D data sets and integrating a solution from the range of existing and potential services available to a CSIRO researcher both from within the organisation and externally.


There is no fixed program.

However, to kick the session off we would greatly appreciate it if a few researchers could send us some questions and relevant project descriptions in advance, so that we have a couple of use cases to go through as an introduction for the workshop.


No essentials but a healthy dose of curiosity and a willingness to participate actively will be greatly appreciated!

Background information/Pre-reading Attachments

A brief overview of the eResearch Services is available here.

Date and time

Friday 28th March, 2014.  9.00am – 12.30pm.


Room: Clarendon C, level 2.
Melbourne Convention and Exhibition Centre
1 Convention Place, Melbourne, Victoria

Contact information

Brian Davis

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The C3DIS 2017 will bring together researchers with computational and data science specialists from CSIRO, publicly funded research organisations and other invited institutions and organisations. This will enable attendees to share their science outcomes and learnings, and build a community of practice around Computational and Data Intensive science.

Free for CSIRO staff and invited participants