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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

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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: 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

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