nci.org.au © National Computational Infrastructure 2016 Virtual Laboratories in Australia Lesley Wyborn (NCI) With contributions from: Ben Evans (NCI) Glenn Maloney and Michelle Barker (NeCTAR) Ryan Fraser (CSIRO)

nci.org.au © National Computational Infrastructure ComputeDataToolsNetworks Millions of Dollars Australian Research Infrastructure Funding Two main tranches of funding: National Collaborative Research Infrastructure Strategy (NCRIS) –$542M for ($75 M for cyberinfrastructure) Super Science Initiative –$901 million for ($347M for cyberinfrastructure) Annual operational funding of around $180M pa since

Virtual laboratories Research Cloud NeCTAR Program National eResearch Collaboration Tools and Resources $61M, 2010 – 2015 $54M co-investment from Universities and Research Enhance research collaboration through the development of eResearch infrastructure Supporting the connected researcher

NeCTAR Program: Targeting the Connected Researcher 1. Research Cloud 2. National Servers Program 3. Sixteen e-tools 4. Twelve Virtual Laboratories Aim to support collaborative research across institutional & discipline boundaries Are rich domain-oriented online environments that draw together: Research data, Models, Analysis tools and Workflows

1. astronomy 2. biodiversity and climate change 3. climate & weather science models and data 4. characterisation 5. marine modelling and observation 6. cultural studies 7. human communications science 8. endocrine genomics 9. genomics 10. geophysical tools, data and resources 11. hazard impact and risk 12. industrial ecology See for more details on eachhttps://nectar.org.au/labs/ NeCTAR Virtual Laboratories

NeCTAR Virtual Labs emphasis on sharing ▪Connecting research communities to tools, data and infrastructure ▪Researcher training in using the VL’s ▪VL Research software developer community ▪Common services and operations/economies of scale ▪Developing communities of practice around common issues ▪Lowering barriers to entry for less skilled users

nci.org.au © National Computational Infrastructure 2016 Mapping the landscape of Virtual Laboratories in OZ

nci.org.au © National Computational Infrastructure 2016 Earth Science VL’s: Two End Members: Tightly Coupled vs Loosely coupled GQe8Tlc3ZbzKAowIg8cN25IuH5bOCZ3swnHWRUjGxxP137xxA EwjEoYmp0KDLAhXJk5QKHcPrCB8QjRwIBw&url=https%3A%2F%2Fgigaom.com%2F2014%2F09%2F03%2F hadoop-2-0-and-loosely-coupled- systems%2F&psig=AFQjCNGJljnytQttjmwuAY9dB19UHtV8Nw&ust= Tightly coupled data and tools and infrastructure at a single location Data, tools and infrastructure drawn on the fly from a pool of resources

nci.org.au © National Computational Infrastructure 2016 Components of a Lightweight Virtual Laboratory Data Services Processing Services Compute Services Enablers (eg. OGC “Glue”) Virtual Laboratory

nci.org.au © National Computational Infrastructure 2016 Components of the Virtual Geophysics Laboratory Data Services Processing Services Compute Services Dynamic Virtual Geophysics Laboratories Magnetics Gravity DEM eScript Under world NCI Petascale NCI Cloud NeCTAR Cloud Amazon Cloud Desktop Service Orchestration VGL Portal Provenance Metadata Scripting Tool eScript Mag.Grav. NCI Cloud VGL Portal DEM Mag.Grav. NCI Petascale NCI Cloud Under world Enablers (eg. OGC “Glue”)

nci.org.au © National Computational Infrastructure 2016 Components of the Virtual Hazard Impact & Risk Laboratory (VHIRL) Data Services Processing Services Compute Services EnablersData Analytics Magnetic s Gravity DE M eScript ANUGA NCI Petascale NCI Cloud NeCTAR Cloud Amazon Cloud Desktop Service Orchestration Provenance Metadata Auth. Coastal Inundation Tsuanmi Inundation Scenario Cyclone Wind Path Calculation Landsat Bathymetry Cyclone Wind Model Surface Wave Propagation (earthquake) TCRM Virtual Laboratories/A pps

nci.org.au © National Computational Infrastructure 2016 The stress of building loosely coupled

nci.org.au © National Computational Infrastructure _964x455_popup.jpg The other battle: useability and how much effort on UI’s vs training

nci.org.au © National Computational Infrastructure th International Workshop on Science Gateways

nci.org.au © National Computational Infrastructure 2016 VL’s, VRE’s, SG’s in Conclusion tbn3.gstatic.com/images?q=tbn:ANd9GcS1phWlfljPYCioNQFKFAEvBTaaK2D0JdkyVaEv00f-P8caAWUP5A The Challenges:  Minimising copying of data – aim for direct access on repositories  Improving research software quality, reliability and sustainability  Strengthening focus on shared research support services  Building capability within the research communities The benefits: They are the pot of gold at the end of the researchers rainbow