ecotas13 turner aekos
DESCRIPTION
TERN's eco-informatics David Turner's presentation on AEKOS at EcoTas13 in November 2013.TRANSCRIPT
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
Open data?
Typical reuse cycle
Identify problem
Draft approach
Search for and acquire potential
data
Assess suitabilityModify approach
Prepare data
Conduct analysis
Regional practices
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
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
Data entropy
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
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
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
Discovery
Site level results
Project context
Site context and data
Data extraction and use
Current status
~ 100k sites by end of 2013SHaRED tool online May 2014
Logo
Thank you
Website: www.aekos.org.au
Portal: portal.aekos.org.au
TERN booth @ EcoTas
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