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Eco-informatics: Data services for bringing together and publishing the full richness of ecological plot data

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The presentation provides an overview of Advanced Ecological Knowledge and Observation System and SHaRED services by the TERN Eco-informatics to publish plot-based ecological data. 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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Eco-informatics: Data services for bringing together and publishing the full richness of ecological plot data

  1. 1. ©2014TheUniversityofAdelaide Eco-informatics : Data services for bringing together and publishing the full richness of ecological plot data Craig Walker - Director TERN Eco-informatics www.ecoinformatics.org.au
  2. 2. Data Publishing Services Datasets Integrated & Federated Site-level Data Self-service Dataset Submission Assisted Data Submission PortalRepository Services RIF-CS EML SPARQL OWL Site Maps Dataset Download Site Maps Observation Diagram MS Access Integrated Site Data Download Data In Data Management Data Out Data UsedWho Researchers, Governments, Supersites, LTERN, ATN Universities, Government Databases AusPlots. CSIRO, AusCover Individual data creators Organisational data creators Research efficiencies
  3. 3. Products Metadata Data Update ÆKOS data portal and repositorySHaRED data submission tool Soils-to-Satellites visualisation tool Data update tool Metadata catalogues Australian Ecological Knowledge & Observation System
  4. 4. ÆKOS’s Niche N sites, surveys, plotscomplex well-described integrated ÆKOS Data Primary ecology ÆKOS’s Niche Key Achievement: AEKOS is recognised globally as the first product to successfully integrate ecological data at the plot level and deliver this with all relevant knowledge through an open access data portal
  5. 5. The data revolution
  6. 6. Barriers to reuse Identify problem Draft approach Search for data Acquire data Assess suitability Modify approach Prepare data Conduct analysis Interpret results Dispersed: Data is stored in many storage locations and formats Source:Forestcheck: www.dec.wa.gov.au Complex: Data usually needs explanation and context before it can be accurately used www.nswrail.net Diverse and fragmented: Ecological data covers a wide range of topics and there are many different ways of measuring, observing and expressing different concepts * Rapidly evolving with few measurement standards
  7. 7. Empowering researchers Discovery Comprehension Extraction Search/Browse Integration Publication - Article - Data and citation to AEKOS Identify problem Draft approach Search for data Acquire data Assess suitability Modify approach Prepare data Conduct analysis Interpret results Consider your users
  8. 8. The AEKOS information landscape Plants Birds Bats © eResearchSA ©eResearchSA
  9. 9. Agile data management
  10. 10. AEKOS Search/Browse
  11. 11. Integration ÆKOS applies a flexible knowledge representation approach Collection  Book Graph  Chapter Observation Section Entity  Paragraph on common subject Statement  Sentence Value  Object of a Sentence Metadata  Front Matter/Edition Notice Ontology  Grammar Vocabulary  Dictionary + Thesaurus (Data) Collection Graph Observation Entity Statement Value
  12. 12. Integration
  13. 13. ÆKOS’scoverage
  14. 14. LevelofData Complexity(Richness) DataOne Nature ALA (Species Data) No data ANDS- RDA, TDDP Vegbank Pangaea Other Atlases ÆKOS Researcher Datasets (SHaRED) ÆKOS (Site Data) Level of data integration Fully Integration ÆKOS in the data landscape
  15. 15. ÆKOS in the data landscape LevelofDescription DataOne Nature ALA (species data) No data ANDS- RDA, TDDP Vegbank Pangaea Other Atlases ÆKOS Researcher Datasets (SHaRED) ÆKOS Integrated Site Data Fully Integration Level of data integration
  16. 16. Science impact
  17. 17. Application - Global plant community trait patterns Who • German Centre for Integrative Biodiversity Research (sPlot Working Group) Analyses • Global vegetation database (sPlot) with global TRY plant trait database Fig. 4: Community-weighted means of specific-leaf area (SLA) in m²/kg (ln-transformed) averaged across all plots within a grid cell (values ranging from 2.2 to 38.1 m²/kg). SLA is highest in the Temperate midlatitudes from where it decreases towards the poles, towards the interiors of the contents and towards the subtropics and tropics (based on sPlot 1.0 and a fully gap-filled version of TRY 2.0).
  18. 18. Thank you Email: anita.smyth@adelaide.edu.au (Data Relationships) craig.walker@adelaide.edu.au (Director) Website: www.ecoinformatics.org.au Portal: www.aekos.org.au Data submission (DOI): www.shared.org.au Twitter: @tern_aekos plotcomplex well-described integrated ÆKOS Data Primary ecology
  19. 19. This presentation can be: • Distributed, remixed, and built upon, even commercially • Photographed, filmed or broadcasted • Blogged, live-posted or videoed Provided: You attribute the work to its author and respect the rights and licenses associated with its components.

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