Franz Et Al. SCAN - Southwest Collections of Arthropods Network: Leveraging F...taxonbytes
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.
Franz Et Al. SCAN - Southwest Collections of Arthropods Network: Leveraging F...taxonbytes
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.
ALUNO: DIEGO A. L. G. BORGES
POLO: S. PEDRO DA ALDEIA
DISCIPLINA: EDUCAÇÃO À DISTÂNCIA
SLIDES ELABORADOS À PARTIR DO TEMA EXPOSTO NA ENTREVISTA COM OS PROFESSORES MARCO SILVA E EDMÉA SANTOS E DO FILME "BMW VERMELHA", CONTEÚDOS ABORDADOS NA DISCIPLINA EAD-UERJ.
Intervento tecnico ed esempi d\'innovazione digitale delle imprese. Slide presentate al seminario di approfondimento tecnico contributi per l’innovazione digitale delle imprese calabresi organizzato da Confindustria Catanzaro.
ALUNO: DIEGO A. L. G. BORGES
POLO: S. PEDRO DA ALDEIA
DISCIPLINA: EDUCAÇÃO À DISTÂNCIA
SLIDES ELABORADOS À PARTIR DO TEMA EXPOSTO NA ENTREVISTA COM OS PROFESSORES MARCO SILVA E EDMÉA SANTOS E DO FILME "BMW VERMELHA", CONTEÚDOS ABORDADOS NA DISCIPLINA EAD-UERJ.
Intervento tecnico ed esempi d\'innovazione digitale delle imprese. Slide presentate al seminario di approfondimento tecnico contributi per l’innovazione digitale delle imprese calabresi organizzato da Confindustria Catanzaro.
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