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Developing Marine Research Data Management Infrastructure in WA

Developing Marine Research Data Management Infrastructure in WA. Luke Edwards WALIS Forum 11th Nov 09. WAMSI research. $51 million investment (State, federal, industry and research entities) until 2011 - 250 scientists working on 87 research projects

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Developing Marine Research Data Management Infrastructure in WA

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  1. Developing Marine Research Data Management Infrastructure in WA Luke Edwards WALIS Forum 11th Nov 09

  2. WAMSI research • $51 million investment (State, federal, industry and research entities) until 2011 • - 250 scientists working on 87 research projects • WAMSI Data and Information Management Policy • Data stored and made accessible through iVEC infrastructure (1) • All data must be documented (metadata) (2)

  3. iVEC infrastructure • Currently ~9 TB data (just fraction of WAMSI projects) on Petascale Data Store • Uses HSM (Hierarchical Storage Management) – Disk and tape • Open to organisations who wish to share data

  4. iVEC facilities Petascale data storage

  5. Data Access • www.wamarine.org • Link to WAMSI portal based on IMOS portal • Underlying use of open-source technologies e.g. Geoserver, OpENDAP servers and MEST / GeoNetwork

  6. $80 million Super Science funding for Pawsey HPC Centre for SKA Science Federal Budget announcement 12th May 2009 “…to be establishedin Perth to host new high performance computing facilities and expertise to support SKA research and other high-end science” The Centre will be part of iVEC Eastern Australian telescopes + ASKAP in WA Eastern Australian telescopes only Steve Tingay, 2009

  7. IMOS - 11 National Facilities 2) Ships of opportunity 1) ARGO 9) Automated Intelligent Monitoring 6) National Mooring Network 7) Coastal Ocean Radar Network 5) AUV 11) eMII - data 4) Ocean gliders 8) Acoustic tagging 10) Satellite 3) Southern Ocean Automated Timeseries Observations Provide the information for 5 regional nodes

  8. ARGO(Argo Australia) – measures vertical profiles, physical & O2 0-2000m • SOOP(Ships of Opportunity Programme) – surface & sub-surface physical & biochemical data along ship-tracks • SOTS(Southern Ocean Automated Timeseries Observations) – extreme climate, the southern ocean moorings • ANFOG(Australian National Facility for Ocean Gliders) – gliders, ocean and shelf repeat transects, phys & biol • AUV(Autonomous Underwater Vehicle) – underwater vehicle, close up view of benthic biodiversity + phys • ANMN(Australian National Mooring Network) – coastal (NRS) & shelf-edge moorings, surface, sub-surface & acoustics • ACORN(Australian Coastal Ocean Radar Network) – HF radar, surface currents & waves to 75km offshore • AATAMS(Australian Acoustic Tagging and Monitoring System) – acoustic tagging, fish, sharks, sea mammal detection • FAIMMS(Facility for Automated Intelligent Monitoring of Marine Systems) – networked sensors on the GBR (Scott Bainbridge) • SRS(Satellite Remote Sensing) – satellites, SST and ocean colour for Australian region • eMII(eMarine Information Infrastructure) – data management, integration, bringing it all together

  9. Australian Ocean Data Network (AODN) Money has been made available for next step after IMOS - move toward a sustainable system … Australian Ocean Data Centre Joint Facility (AODC-JF) • CSIRO Marine and Atmospheric Research; • Geosciences Australia; • Royal Australian Navy; • Bureau of Meteorology; • Australian Government Antarctic Division, and • Australian Institute of Marine Science (AIMS)

  10. NCRIS US-IOOS Portal BlueNet Portal AUSCOPE Portal WA-Marine Portal AODCJF TERN Portal CSIRO Portal AODN Portal University Portal AAD Portal IMOS Portal EPA Portal EU-Myocean Portal AODN vision

  11. 2007 workshop outcomes 1 vote per person

  12. Some results from Q & AMarine data management in WA 27th October 2009

  13. Where are you from? • Federal Govt • State Govt • Private industry • Education • Other

  14. I think marine data management is resourced and handled well in my agency • Strongly Agree • Agree • Disagree • Strongly Disagree • N/A

  15. If you had to choose one dataset that you would like to see funded as a state-wide dataset it would be.. • Bathymetry • Benthic habitat • Coastal geomorpholgy / geology • Physical oceanography • Not listed

  16. What would you choose as most important issue? • Getting high res DEM for coastal • Integration of marine datasets • Future commitment in WA, not piecemeal projects • Better communication • State agency integration of marine requirements • Better definition of priorities across state • Other • Don’t know

  17. Summary • WAMSI: Better science, better decisions • Need to ensure the existing infrastructure is best used – this requires tools e.g. visualisation and collaboration

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