EcoTas13 Turner AEKOS
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ÆKOS: A new paradigm for discovery and access to complex ecological data
David Turner and Paul Chinnick([email protected])
Logos used with consent. Content of
this presentation except logos is
released under TERN Attribution Licence Data Licence v1.0
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Open data?
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Typical reuse cycle
Identify problem
Draft approach
Search for and acquire potential
data
Assess suitabilityModify approach
Prepare data
Conduct analysis
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Regional practices
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Characteristics of ecological data
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
Diversity: Ecological Data covers a wide range of topics
www.
derm
.qld
.gov
.au
© Al
amaySource:Forestcheck:
www.dec.wa.gov.au
Complexity: Data usually needs explanation and context before it can be accurately used
RecID Species Xcoord Ycoord Height dbh1 E obliqua 56.22506 137.3208 34 362 E obliqua 34.45058 137.3557 22 333 E obliqua 34.25678 136.1189 54 794 E obliqua 35.77208 136.785 66 685 E obliqua 35.97997 136.8556 43 276 E baxteri 37.03322 138.71 56 777 E baxteri 34.61981 136.8554 33 208 E baxteri 36.0738 139.8762 22 1019 A brownii 35.1474 138.6559 25 71
10 A brownii 37.81432 136.2933 62 4211 A brownii 35.95443 138.5847 23 2212 A brownii 35.51555 139.868 42 9313 A marina 35.78676 139.8709 23 10314 A marina 37.70242 136.0484 34 7615 A marina 34.00839 137.3669 43 3316 A marina 36.74387 137.9251 34 9117 A marina 37.92455 136.7602 43 55
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The information landscape
RecID Species Xcoord Ycoord Height dbh1 E obliqua 56.22506 137.3208 34 362 E obliqua 34.45058 137.3557 22 333 E obliqua 34.25678 136.1189 54 794 E obliqua 35.77208 136.785 66 685 E obliqua 35.97997 136.8556 43 276 E baxteri 37.03322 138.71 56 777 E baxteri 34.61981 136.8554 33 208 E baxteri 36.0738 139.8762 22 1019 A brownii 35.1474 138.6559 25 71
10 A brownii 37.81432 136.2933 62 4211 A brownii 35.95443 138.5847 23 2212 A brownii 35.51555 139.868 42 9313 A marina 35.78676 139.8709 23 10314 A marina 37.70242 136.0484 34 7615 A marina 34.00839 137.3669 43 3316 A marina 36.74387 137.9251 34 9117 A marina 37.92455 136.7602 43 55
Plants BirdsBats
© eResearchSA
© e
Rese
arch
SA
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Data entropy
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AEKOS approach
Model maintenance
AEKOSwarehouse
Portalindex
Contribute to new research
Data use
Diverse data sources
Data viewer &Extract tools
Data transformtools
Indexingtools
Descriptiontools
Varia
ble
effor
t bas
ed o
n co
st b
enefi
t
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Data handling
Tree height 8
Species E. camaldulensis
DBH 45
Life stage Mature
Condition Good
Tree height C: 5 - 10
Species E. camaldulensis
Condition 4
Floristics Fruiting
Shape C
Age 20 - 30
The challenge is to integrate the evolving diversity of data
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Study location
Sampled area
Landscape features
Sampling unit
Organism group(vegetation association)
Organism group(individual tree)
Entity Attribute Value
Org_gp 0001 Tree height 8
Org_gp 0001 Species E. camaldulensis
Org_gp 0001 DBH 45
Org_gp 0001 Life stage Mature
Org_gp 0001 Condition Good
Org_gp 0001 Floristics Flowering
Org_gp 0001 Shape C
Ontological modelling
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Discovery
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Site level results
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Project context
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Site context and data
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Data extraction and use
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Current status
~ 100k sites by end of 2013SHaRED tool online May 2014
Logo
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Thank you
Website: www.aekos.org.au
Portal: portal.aekos.org.au
TERN booth @ EcoTas
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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