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ÆKOS: A new paradigm for discovery and
access to complex ecological data
David Turner and Paul Chinnick
(d.turner@adelaide.edu.au)
Logos used with
consent. Content of
this presentation
except logos is
released under TERN
Attribution Licence
Data Licence v1.0
Open data?
Typical reuse cycle
Identify problem

Conduct analysis

Draft approach

Search for and
acquire potential
data

Prepare data

Modify approach

Assess suitability
Regional practices
Diversity:
Ecological Data covers a
wide range of topics

Source:Forestcheck:
www.dec.wa.gov.au

www.nswrail.net

Fragmentation:
Many different ways of measuring/observing/
expressing similar ecological concepts
* Rapidly evolving
Dispersal:
Data is stored in many
storage locations and formats

© Alamay

Complexity:
Data usually needs
explanation and context before
it can be accurately used

www.derm.qld.gov.au

Characteristics of ecological data
© eResearchSA

The information landscape

© eResearchSA

Plants
Bats

Birds
Data entropy
Variable effort based on cost benefit

AEKOS approach
Data transform
tools

Diverse data sources

Indexing
tools
Description
tools

index

Portal

Data use

Data viewer &
Extract tools
AEKOS
warehouse
Model maintenance

Contribute to new research
Data handling
Tree height
Species
DBH

8

Tree height

E. camaldulensis

Species

45

Life stage

Mature

Condition

Condition

C: 5 - 10
E. camaldulensis

4

Good

Floristics

Shape
Age

The challenge is to integrate
the evolving diversity of data

Fruiting

C
20 - 30
Ontological modelling
Study location
Sampled area
Landscape features
Sampling unit

Entity

Attribute

Value

Org_gp 0001

Tree height

Org_gp 0001

Species

Org_gp 0001

DBH

Org_gp 0001

Life stage

Mature

Org_gp 0001

Condition

Good

Org_gp 0001

Floristics

Org_gp 0001

Shape

8

Organism group
(vegetation association)

E. camaldulensis
45

Flowering
C

Organism group
(individual tree)
Discovery
Site level results
Project context
Site context and data
Data extraction and use
Current status
~ 100k sites by end of 2013
SHaRED tool online May 2014
Thank you
Website: www.aekos.org.au
Portal:

portal.aekos.org.au

TERN booth @ EcoTas
d.turner@adelaide.edu.au
Concept alignment
•We integrate data from many
different sources, using different
classification systems

•All datasets indexed with common
set of search terms (vocabularies)
•Taxonomy is a good example
•Many other themes for search from
project metadata to observation
level data

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EcoTas13 Turner AEKOS

  • 1. ÆKOS: A new paradigm for discovery and access to complex ecological data David Turner and Paul Chinnick (d.turner@adelaide.edu.au) Logos used with consent. Content of this presentation except logos is released under TERN Attribution Licence Data Licence v1.0
  • 3. Typical reuse cycle Identify problem Conduct analysis Draft approach Search for and acquire potential data Prepare data Modify approach Assess suitability
  • 5. Diversity: Ecological Data covers a wide range of topics Source:Forestcheck: www.dec.wa.gov.au www.nswrail.net Fragmentation: Many different ways of measuring/observing/ expressing similar ecological concepts * Rapidly evolving Dispersal: Data is stored in many storage locations and formats © Alamay Complexity: Data usually needs explanation and context before it can be accurately used www.derm.qld.gov.au Characteristics of ecological data
  • 6. © eResearchSA The information landscape © eResearchSA Plants Bats Birds
  • 8. Variable effort based on cost benefit AEKOS approach Data transform tools Diverse data sources Indexing tools Description tools index Portal Data use Data viewer & Extract tools AEKOS warehouse Model maintenance Contribute to new research
  • 9. Data handling Tree height Species DBH 8 Tree height E. camaldulensis Species 45 Life stage Mature Condition Condition C: 5 - 10 E. camaldulensis 4 Good Floristics Shape Age The challenge is to integrate the evolving diversity of data Fruiting C 20 - 30
  • 10. Ontological modelling Study location Sampled area Landscape features Sampling unit Entity Attribute Value Org_gp 0001 Tree height Org_gp 0001 Species Org_gp 0001 DBH Org_gp 0001 Life stage Mature Org_gp 0001 Condition Good Org_gp 0001 Floristics Org_gp 0001 Shape 8 Organism group (vegetation association) E. camaldulensis 45 Flowering C Organism group (individual tree)
  • 16. Current status ~ 100k sites by end of 2013 SHaRED tool online May 2014
  • 18. Concept alignment •We integrate data from many different sources, using different classification systems •All datasets indexed with common set of search terms (vocabularies) •Taxonomy is a good example •Many other themes for search from project metadata to observation level data