3. EOL GloBI – Why?
Challenge: Species interaction datasets exist,
but are not easy to access and typically not
machine readable.
Idea: To aggregate interaction datasets and
make them legible to humans and machines.
7. EOL GloBI – Use Case 1
Jane, Jim, James and Joanna make their
individual interaction datasets available.
GloBI retrieves, normalizes and indexes the
four interaction datasets.
John uses GloBI to find species interactions,
retrieve reference information and download
raw data for offline analysis.
John attributes Jane, Jim, James and Joanna in
a published paper for the use of their data.
8. EOL GloBI – Use Case 2
Jane shares an interaction dataset.
GloBI retrieves, normalizes and indexes the
Jane's interaction dataset.
Jane uses GloBI to check that her dataset is
correctly normalized and finds that a scientific
name didn't match against any external
taxonomy.
Jane corrects the name Ariopsis felix to Ariopsis
felis in her original dataset.
GloBI detects the changes within 24 hours and
updates automatically.
10. EOL GloBI – Connecting the Pieces
I nInteterraacctitoionn D Daatatasseetsts
EExxteterrnnaal lT Taaxxoonnoommieiess
.csv
.txt
Postgres .xls
WebService MySQL
.tsv PLoS
EEOOLL's's G GloloBBII
ITIS
GulfBase
WoRMS
AAnnaalylyssisis T Toooolsls / /A Apppplilcicaatitoionnss EExxisistitningg O Onntotolologgieiess
EOL
NCBI
Envo:
Environments
Biomes
Uberon:
Life Stage,
Body Parts
OBO Taxrank:
Relations
NCBI:
Taxonomy
GO:
Interaction
Processes
Excel R
SAS
SPSS
Cytoscape
Gephi
Web
Applications
Custom
Programs
Index
Match
Model
Consume
11. EOL GloBI – Human Readable
You ask:
Could you provide some examples of what a
hardhead catfish eats?
GloBI answers:
A hardhead catfish (Ariopsis felis) was collected
with a stomach containing a brown shrimp
(Farfantepenaeus aztecus) at latitude 28.645
and longitude -96.100 at a depth of 0.7 m on
9 April 1999 (Akin et al. 2006).
...
13. EOL GloBI – Where Are We?
18 datasets containing 25K taxa, 422K
interactions, spanning about 3K locations
Alpha version of automated ingestion,
normalization, aggregation and export
methods*
Alpha version of web API* used by
gomexsi.tamucc.edu project
Alpha version of data exports* used to
visualize food web in Gulf of Mexico
* see github.com/jhpoelen/eol-globi-data/wiki
18. EOL GloBI – Where Are We Going?
Help liberate more interaction datasets
Use GloBI to enhance EOL pages
Continue to work with scientists and software
engineers to make machine-readable global
species interaction data available for scientific
and educational purposes
19. EOL GloBI – Who's Who?
Contributors: Jorrit Poelen (lead/software), Chris
Mungall (ontologies), James Simons (biologist)
and Robert Reiz (software)
Datasets shared by: Peter D. Roopnarine,
Rachel Hertog, Carlos García-Robledo, James
Simons (GoMexSI), Jenny L. Wrast, C. Barnes,
International Council for the Exploration of the
Sea (ICES), Jose R. Ferrer Paris, Senol Akin,
Malcolm Storey (BioInfo.org.uk), Ivy E. Baremore,
Joel Sachs (SPIRE), Colt W. Cook, David A.
Blewett, Ken-ichi Kueda (iNaturalist.org) and
others.
20. EOL GloBI
Funded by EOL's Rubenstein Fellows Program.
Big thanks to Jen Hammock, Jeff Holmes and
Cyndy Parr at EOL for supporting and providing
input for the EOL-GloBI project.
Want to share a dataset? Contact Jorrit Poelen
at jhpoelen+eol@gmail.com.
http://globalbioticinteractions.wordpress.com
http://github.com/jhpoelen/eol-globi-data/wiki