franz et al. scan - southwest collections of arthropods network: leveraging filtered push technology...
DESCRIPTION
SCAN - the Southwest Collections of Arthropods Network (http://symbiota1.acis.ufl.edu /scan/portal/) - is the first regional arthropod biodiversity data network that utilizes the Symbiota software platform (http://symbiota.org/tiki/tiki-index.php). Since its origin in 2012 SCAN has unified and newly created specimen-level occurrence records on-line pertaining to nearly 15 south-western United States arthropod collections; including more than 515,000 records that represent some 18,000 species. However, due to the disproportionately mismatched diversity versus taxonomic expertise for the region and focal taxa, at least one third of the specimens are not identified (authoritatively or otherwise) to the level of species, with concomitant limitations for derivative taxonomic or evolutionary/ecological research. The member collections are typically separated from each other geographically by distances that prohibit frequent interactions with regional or global experts, except in virtual realm. SCAN has therefore implemented a Filtered Push (FP) based service (http://wiki.filteredpush.org /wiki/) whose primary purpose is to connect high-quality imaged of yet insufficiently identified specimens with suitable experts who can provide identifications remotely. This is achieved through the FP-server system which both records these contributions externally and pushes them back into the source Symbiota platform for review, acceptance, or rejection by the respective collection/node leaders. SCAN is therefore primed to utilize FP at a large scale and with a well circumscribed focal purpose that is relevant to the specific needs of this collections network. We illustrate the SCN/FP workflow, underlying concepts and technology, and current state of implementation and usage. FP allows experts to gradually accumulate credit and "reputations" for their identification contributions, and thus represents a promising means to improve data quality through transparent and distributed expert involvement and attribution.TRANSCRIPT
Leveraging Filtered Push Technology to
Enhance Remote Taxonomic Identifications
Nico Franz1, Edward Gilbert1, Neil Cobb2 & Paul Morris3
1 School of Life Sciences, Arizona State University2 Merriam-Powell Center, Northern Arizona University3 Museum of Comparative Zoology, Harvard University
TDWD 2013 Annual Conference, Florence, Italy Biodiversity Data Quality – Issues, Methods and Tools
October 29, 2013
Currently 9 Thematic Collection Networks with 130 participating institutions
Advancing Digitization of Biodiversity Collections (NSF ADBC Program) Digitize 1 billion specimens in 10 years
UNMTAMU
ASU
DMNS
UCB
NMSU
CSU
TTU
NAU
UA
SCAN member collectionsAverage ~ 480 miles apart
SCAN digitization objectives
• Digitize 1 million records for southwestern ground-dwelling arthropods
• Produce 16,000 high-resolution images of species; promote identifications
• Leverage an interactive identification & annotation workflow via Symbiota
Gerstaeckeria porosa (LeConte, 1876) – ASUHIC0017017 Crotanius trivittatus (Champion, 1908) – ASUHIC0012067
SCAN ADBCGround-Dwelling
Arthropod Records
SCAN ADBCNon-Target Taxa
Records
SCAN ADBC Collections
SCAN Non-ADBC Broader Impact
Records
SCAN Broader Impact Collections
September, 2013: 510,262 records in SCAN
• 510,262 specimens in Symbiota• 300,984 (59%) georeferenced• 338,836 (66%) identified to species• 1,016 families• 8,056 genera• 17,538 species
Primary need:remote IDs
Deployment diagram – Symbiota & Filtered Push interaction
Source: http://wiki.filteredpush.org/wiki/FP-Medium_deployment_for_SCAN
Filtere
dP
ush
3N
od
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ttp://fp
3.acis.u
fl.edu
/FPAn
no
tation
Pro
cessor-W
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• New, remotely added identifications are grounded in the Annotation Ontology.
• FP team has developed Symbiota-integrated PHP Client Tools that record andpush new annotations to the external FP infrastructure where statistics are kept.
SCAN Symbiota Portalhttp://symbiota1.acis.ufl.edu/scan/portal/index.php
New FP Client Tools in Symbiota
Current workings & look in SCAN
Homepage – http://symbiota1.acis.ufl.edu/scan/portal/index.php
Images
ID = Scarabaeidae
Image thumbnail gallery – some are insufficiently identified
ID = Epicaerus
More information – occurrence records, images – is clicks away
More information – occurrence records, images – is clicks away
Experts can log in and view a taxon-tailored IDs Needed tab
This is the scarabin need of an ID
Experts can log in and view a taxon-tailored IDs Needed tab
This is the scarabin need of an ID
Occurrence tab
Experts can log in and view a taxon-tailored IDs Needed tab
This is the scarabin need of an ID
Occurrence tab
Images tab
Adding a new identification in the Determination History tab
Scientific Name is linked to theSCAN Taxonomic Thesaurus.
The fully integrated Symbiota tab for IDs is Filtered Push-enabled
• New = current ID• Image remapping• Submission to FP
Confirmationin SCAN
Simultaneous ID recording internally (SCAN) and externally (FP)
Confirmationin SCAN
Confirmationin FP3 node
Simultaneous ID recording internally (SCAN) and externally (FP)
Annotationslist view
AO translation
Simultaneous ID recording internally (SCAN) and externally (FP)
Confirmationin FP3 node
Confirmationin SCAN
Annotationsdetail view
RDF / XMLtranslation
AO translation
Future work – 1st production-level Symbiota / FP implementation
• Optimization of SCAN "IDs Needed" user interface – thumbnail view
• Roll-out to the SCAN expert community, creation of expert profiles in FP
• Expansion beyond SCAN members, diversified notification systems
"Curculionidae" ("Calles" sp.) – ASUHIC0031695
• TDWG 2013 Symposium organizers – Antonio Mauro Saraiva
• James Hanken, Maureen Kelly & David Lowery – http://wiki.filteredpush.org/wiki/
• ASUHIC digitization team – Sangmi Lee, David Fleming, Soon Flynn, Andrew Jansen,Catherine Mercado, Joshua Persson, Sarah Shirota, Michael Shillingburg.
• NSF Award EF-1207107. "Digitization TCN: Collaborative Research: Southwest Collections of Arthropods
Network (SCAN): a Model for Collections Digitization to Promote Taxonomic and Ecological Research."
Acknowledgments
http://symbiota1.acis.ufl.edu/scan/portal/index.php http://taxonbytes.org
https://sols.asu.edu http://symbiota.org/tiki/tiki-index.php