Science relies on complex datasets
In scientific institutions all around the world, scientists operate within similar workflows; sourcing data, analysing it, processing it – often using high-performance computing environments – and finally publishing it.
Very often, this involves a number of manual repetitive steps; moving data from one place to another, executing platform-dependent scripts, and more.
Up until now, scientists have often had to write their own purpose-built code from scratch – even when this is not their primary skill set. This approach is inefficient, prone to error, difficult to reproduce by other scientists and unsuitable to take into the commercial world.
Workspace is free software purpose-built for scientific applications.
Developed over the past eight years, Workspace has already been used for a wide range of projects, including natural disaster modelling, human movement and industrial and agricultural research. The software offers huge efficiency savings for researchers from all fields who work with datasets and complex analysis, freeing them up to spend more time focused on their scientific expertise.
Scientists also need to publish the outcomes of their research. Workspace allows them to easily release the software and analysis that backs up their findings.
Another advantage of Workspace is that users don’t need advanced programming skills and it runs on many different platforms and environments.
Watch: An introduction to Workspace
Opening windows to science
Workspace can be used by non-software experts, allowing scientists from all over the globe to use the same platform and collaborate seamlessly on projects.
As well as these benefits, Workspace's data visualisations can help scientists make their research more understandable and accessible.
Workspace has already been used successfully by scientists at University College London, and locally by research institutions including the Australian National University, Macquarie University and the University of New South Wales.