@article {1838,
	title = {Capturing Inventory level information about collections as a step in object to image to data workflows. },
	year = {2014},
	keywords = {TDWG 2014},
	url = {http://idigbio.adobeconnect.com/p2o42nvigxv/},
	author = {Paul J Morris and James Hanken and Robert A Morris and David Lowery and Tianhong Song and Patrick Sweeney and Bertram Lud{\"a}scher and James A. Macklin}
}
@article {1846,
	title = {Capturing Inventory level information about collections as a step in object to image to data workflows.},
	year = {2014},
	keywords = {TDWG 2014},
	url = {http://www.tdwg.org/fileadmin/2014conference/slides/Morris_InventoryLevelPrecapture.pdf},
	author = {Paul J Morris and James Hanken and David Lowery and Bertram Lud{\"a}scher and James A. Macklin and Robert A Morris and Tianhong Song and Patrick Sweeney}
}
@article {1412,
	title = {SPNHC 2014 DemoCamp: FP-DataEntry, a tool for bringing community knowledge into data transcription applications},
	year = {2014},
	abstract = {Similar versions of botanical duplicate and paleontological locality records are often held in multiple natural science collections. In such cases, data quality and capture rates can be enhanced by access to pooled data at the point of data transcription. In the FilteredPush project, we have built a generic tool, FP-DataEntry, designed to integrate with existing web-based data transcription or data management applications.  

FP-DataEntry provides a server-side indexing service plus a web interface that queries the index and transfers data to an existing client web application. The server is domain independent, designed for configuration with a description of a data set to be indexed, the fields available in the index service, and the user interface. The index service can be invoked from any software in object-to-image-to-data workflows, or, FP-DataEntry{\textquoteright}s user interface can be integrated with an existing application with a bookmarklet or a small amount of code.  After populating one or a few fields (e.g. collector name, collector number) in their native data entry application, the user invokes (in an iframe) the FP-DataEntry interface, which queries the index and retrieves potential matches, from which the user can select or edit values to conform with the paper records being transcribed. The selections are transferred back to form fields in the client. 

We have configured a server (with a client at Yale) for botanical duplicate information from the Northeast Vascular Plants project, another for lichen exsiccati, and others as demonstrations outside the biodiversity domain. FP-DataEntry is available from sourceforge and http://wiki.filteredpush.org/FP-DataEntry/},
	keywords = {duplicate, FilteredPush (FP), FP-DataEntry, integration, server-side indexing, SPNHC 2014 DemoCamp},
	author = {Chuck McCallum and Paul J. Morris and James Hanken and Maureen Kelly and David B. Lowery and Bertram Ludaescher and James A. Macklin and Robert A. Morris and Tianhong Song}
}
@article {1333,
	title = {SPNHC 2014: Progress in Digitization: Supporting Data Flows in the New England Vascular Plant Network with FilteredPush Technologies},
	year = {2014},
	abstract = {FilteredPush is supporting digitization in two Thematic Collections Networks (TCNs), the Southwest Arthropods Collections Network (SCAN) and the New England Vascular Plant project (NEVP).  In NEVP, minimal data records, including current taxonomic identification, state and town of collection, and date collected are created during imaging at high-throughput digitization stations at digitization sites.  Current identification is obtained at the folder level in a pre-capture step and associated with the specimens upon imaging.  FilteredPush transports data from the digitization sites by wrapping DarwinCore terms in Open Annotation ontology documents, including metadata about the when, where, and who of digitization, typing as New Occurrence records, and minimal AudubonCore for the images.  These annotations are ingested into the NEVP Symbiota portal.  The annotations are then available for ingest into the databases of record through new occurrence ingest tools in the Specify 6 collections management system.   Additional data will be transcribed, in Symbiota, from the specimen images, and, supporting the science goals of the project, flowering and fruiting state will be coded for some taxa.  These assertions will be wrapped in annotations, typed to reflect domain business operations, and transported to the relevant collections for ingest.  Records harvested from network participants into datastores within FilteredPush will be subject to quality control from an Akka workflow that tests the taxon name, georeference, and date collected values of each record. Quality control issues (including proposed corrections) are reported in response to queries by researchers and transported through annotations to both Symbiota and the databases of record.},
	keywords = {DarwinCore, digitization, FilteredPush, quality control, Specify, SPNHC 2014, Symbiota},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/spnhc2014/16_Morris_gwyth_ei_hidlo_NEVP_mini.pdf},
	author = {Paul J. Morris and James Hanken and Maureen Kelly and David B. Lowery and Bertram Lud{\"a}scher and James A. Macklin and Chuck McCallum and Robert A. Morris and Tianhong Song and Patrick Sweeney}
}
