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How TERN Data Infrastructure works

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The presentation provides an overview on how TERN data infrastructure works. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.

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How TERN Data Infrastructure works

  1. 1. How TERN Data Infrastructure works Presentation by Tim Clancy TERN Director
  2. 2. Purpose • Build and manage data infrastructure to provide public access to terrestrial ecosystem data. • Facilitate open access to terrestrial ecosystem research data. • Promote the culture of data sharing and re- use in ecosystem community.
  3. 3. Instruments + Sensors Policy + Management Analysis + Synthesis Modelling Data Searching Data Sharing Data Curation + Publishing Data Storage Processing + Analysis Collection Methods • TERN’s infrastructure for ecosystem science
  4. 4. Data Management Challenges Data heterogeneity: wide variety from different domain • observation (human, in-situ sensor and satellite) Variety of scale: spatial • point, plot, site, local government, state and continental scale Temporal scale • Varies from monthly, yearly and long-term observational spanning several decades Data formats • CSV, NetCDF, Text description, Raster and Vector Metadata standards • EML, ISO 19115 or 19139, custom metadata. Common data exchange format • RIF-CS: feed to TDDP and ANDS RDA Data archival • Distributed across Australia Accessibility • Adhere to TERN Data licensing Policy and framework • Enable access to citable data through DOI
  5. 5. Map layers (WMS) Feature Data (WFS) NetCDF (THREDDS) Rich Contextual Info (ÆKOS) ISO 19115/9 (Geonetwork) TERN DOI Minting service OAI-PMH Harvester TERN Data Catalogue Portal SearchAPI External Processes HTTP Portal(s) HTML5, OpenLayers, JavaScript, CSS Service Interfaces, Metadata Interchange services, Transformation services, Business logic Data Management Tool(s) (Morpho, SHaRED, ANZMET Lite) Analysis and Synthesis (CoESRA) Registry Interchange Format – Collections and Services(RIF-CS) JSON File system EML (Metacat) File system DataOne Member Node AuScribe App
  6. 6. TERN data licensing policy 2.0 • The least-restrictive licence/terms for all data made available through TERN. • Data generated through TERN funding (“TERN data”) will be made freely and openly available by the relevant Facility, noting that:  Users will be required to attribute the source of the data; and  Justifiable conditions protecting sensitivities of data will be allowed. • Updated in October 2015.
  7. 7. Schematic representation of TERN Data Licensing
  8. 8. Distributed infrastructure
  9. 9. Data Access: Across TERN
  10. 10. Access Data: TERN Data Discovery Portal Portal.tern.org.au
  11. 11. Result Page
  12. 12. Fractional cover PV, NPV, Bare Soil ANUCLIMATE 1.0 Logan river water quality MODIS Grass curing Index Biogeophysical Dataset collection
  13. 13. LTERN Supersites Ecology Data Collection
  14. 14. APPLICATION
  15. 15. Fire Management Pre-processed MODIS fire burnt area satellite imagery Vegetation Map and Expert elicitation
  16. 16. TERN’s impact on Terrestrial Ecosystem research data sharing • Domain specific data management • Data and meta-entry tools • Metadata standards • Open standards for data delivery • Flexible licensing policy • Links to national research data catalog • Ability to provide citable data (with DOIs) • Scalable and replicable infrastructure
  17. 17. TERN’s impact on ecosystem science and management • Standardised data collection methodologies • New continental scale data products • Reduce duplication across jurisdictions • Improve knowledge for science to management • Promote collaboration and re-use of data • higher return of investment for funding agencies
  18. 18. TERN Data Publication Highlights Over 2000 data collections including: • Publish data from over 100,000 ecological sites; • Over 40 continental scale remote sensing data products; • Over 30 continental scale soil and landscape attributes data; • Coastal ecosystem datasets including national seagrass, beach observation and water quality; • Continental scale data on climate variables at 1 km spatial resolution; • Half-hourly time-series flux data from towers across Australia.
  19. 19. Moving forwards – sustaining long term science •Global shift to collaborative data , algorithms and participatory resources:
  20. 20. Methods 1 – BCC Virtual Lab
  21. 21. Methods 2 – CoESRA Pilot (Guru et al 2015)
  22. 22. Conclusion • Significant collection, collation of ecosystem data • Large institution databases are available on open access. • State government vegetation survey data • More details during the course of the day.
  23. 23. International Partners TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy and the Super Science Initiative
  24. 24. More information TERN website: www.tern.org.au Thank you t.clancy@uq.edu.au

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