Eco-informatics: Data services for bringing together and publishing the full richness of ecological...
-
Upload
terrestrial-ecosystem-research-network -
Category
Science
-
view
171 -
download
1
Transcript of Eco-informatics: Data services for bringing together and publishing the full richness of ecological...
© 2
014
The
Uni
vers
ity o
f Ade
laid
e
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
Data Publishing Services
Datasets
Integrated &Federated Site-level
Data
Self-service Dataset
Submission
Assisted DataSubmission
PortalRepository
Services
RIF-CSEML
SPARQLOWL
Dataset file
Supplementarymaterials
Site Maps
CitationsDOIs
Images
Metadata
Dataset Download
Integrated Data
Site Maps
Citations
Method
Diagram
Observation Diagram
PostgresMySQL
MS AccessDescriptions
Integrated Site Data Download
Data In Data Management Data Out Data UsedWho
Researchers,Governments,Supersites,LTERN, ATN
Universities,GovernmentDatabasesAusPlots. CSIRO, AusCover
Individual data creators
Organisational data creators
Research efficiencies
Products
Metadata
Data Update
ÆKOS data portal and repositorySHaRED data
submission tool
Soils-to-Satellites visualisation tool
Data update tool
Metadatacatalogues
Australian Ecological
Knowledge & Observation
System
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
The data revolution
Barriers to reuseIdentify 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
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
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
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
The AEKOS 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
Agile data management
AEKOS Search/Browse
IntegrationÆKOS applies a flexible knowledge
representation approach
Collection BookGraph ChapterObservation SectionEntity Paragraph on common subjectStatement SentenceValue Object of a SentenceMetadata Front Matter/Edition NoticeOntology GrammarVocabulary Dictionary + Thesaurus
(Data) Collection
Graph
Observation
Entity
Statement
Value
Integration
ÆKO
S’s c
over
age
Leve
l of D
ata
Com
plex
ity (R
ichn
ess)
DataOne
Nature
ALA(Species
Data)
No data
ANDS- RDA, TDDP
Vegbank
Pangaea
Other Atlases
ÆKOS Researcher Datasets (SHaRED)
ÆKOS (Site Data)
Level of data integrationFully Integration
ÆKOS in the data landscape
ÆKOS in the data landscapeLe
vel o
f Des
crip
tion
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
Science impact
Application - Global plant community trait patternsWho• 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).
Thank you
Email: [email protected] (Data Relationships) [email protected] (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
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.