@conference {1621,
	title = {Accelerating Digitization of Biodiversity Research Specimens through Online Public Participation},
	booktitle = {Botany 2014},
	year = {2014},
	keywords = {EF-1115210},
	url = {http://www.2014.botanyconference.org/engine/search/index.php?func=detail\&aid=692},
	author = {Elizabeth R. Ellwood and Betty Dunckel and Paul Flemons and Robert Guralnick and Nelson, Gil and Greg Newman and Paul, Deborah L. and Greg Riccardi and Nelson E. Rios and Katja Seltmann and Austin R. Mast}
}
@conference {2417,
	title = {Accelerating Digitization of Biodiversity Research Specimens Through Online Public Participation},
	booktitle = {SPNHC 2015},
	year = {2015},
	keywords = {EF-1115210, Presentation, SPNHC2015},
	author = {Ellwood, Elizabeth R. and Dunckel, Betty A. and Flemons, Paul and Guralnick, Robert P. and Nelson, Gil and Paul, Deborah L. and Riccardi, Greg and Rios, Nelson and Seltmann, Katja C. and Mast, Austin R.}
}
@conference {2525,
	title = {Accessing Digital Collections Data Sources For Research {\textendash} A Tour of iDigBio Data Services},
	booktitle = {Island Biology 2016},
	year = {2016},
	month = {06/2016},
	address = {Terceira Island, Azores},
	abstract = {Digitized collection objects are an important resource for research analyses such as ecological niche modeling, morphological studies, and data gaps. National and international initiatives have resulted in an enormous number of standardized data records, hundreds of millions, becoming aggregated and made available for research use in the last few years. Some aggregators also offer tens of millions of images of museum specimens. Aggregators like the Global Biodiversity Information Facility (GBIF) internationally, and the Integrated Digitized Biocollections (iDigBio) in the United States, provide several interfaces to their data sets: web based portals, application programming interfaces (APIs), and data processing services. This talk will provide an overview of what kinds of use cases these interfaces can serve, the trade-offs they make, and how to get started using them.
As a concrete example, the iDigBio portal{\textquoteright}s features will be demonstrated. The programming API will be described and examples of its use from the R programming language will be shown. iDigBio{\textquoteright}s data processing service, Global Unified Open Data Access (GUODA), which provides a high-performance method for analyzing entire biodiversity data sets, will be described as well.
},
	author = {Collins, Matthew and Paul, Deborah L.}
}
@conference {2526,
	title = {Biological Collections Data: best practices and trends for standards, digitization, and biodiversity informatics literacy for research use of collections data},
	booktitle = {Island Biology 2016},
	year = {2016},
	month = {06/2016},
	address = {Terceira Island, Azores},
	abstract = {For biological collections data to have the longest life possible, and be usable for as many audiences as possible, we need high-quality, georeferenced, standardized data. The latest standards being used for sharing (mobilizing) collections data include but are not limited to ABCD, Darwin Core, Global Genomic GGBN, Audubon Core, and Ecological Metadata Language (EML).  Transcription of data from existing specimens, imaging specimens and documents, collecting specimens, and using biological collections data requires identifiers. These unique strings make it possible to study and keep track of relationships between objects both physical and digital. Some collections currently rely more and more on researchers{\textquoteright} requests for deciding what to digitize; this trend is referred to as {\textquotedblleft}digitization on demand.{\textquotedblright} At the same time, collections and aggregators like iDigBio (http://idigbio.org), GBIF (http://gbif.org), and VertNet (http://vertnet.org/) are providing data quality information and attempting to analyze specimen data looking for missing data. For example, these data gaps may be taxonomic, geographic, or habitat-based. This data gap analysis (DGA) can help collections to prioritize digitization, and also inform researchers about where to focus collecting and sampling efforts. Accurate georeferencing of specimen locality data using appropriate standards is critical as it facilitates better, faster research. Scientists are urged to please contribute their georeferencing expertise and gazetteers. With ever more data available, scientists find they need to update their data skills. Some groups like Data Carpentry, Software Carpentry, and Reproducible Science Curriculum, now offer easy-to-access training, designed specifically for the beginner or intermediate-level, and tailored to specific communities as well.},
	author = {Paul, Deborah L. and Seltmann, Katja C.}
}
@article {1537,
	title = {Cleaning  Validating and Enhancing Data with Open Refine},
	year = {2013},
	keywords = {iDigBio Georeferencing Workshop Group (GWG), iDigBio GWG TTT 2},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/ttt2/OpenRefineTTT22013.pptx},
	author = {Deborah L Paul}
}
@conference {2432,
	title = {Data Carpentry: one comprehensive model for teaching biodiversity informatics data management, research skills, and training instructors},
	booktitle = {TDWG 2015},
	year = {2015},
	keywords = {EF-1115210, Presentation, TDWG2015},
	author = {Paul, Deborah L. and Teal, Tracy K and Collins, Matthew}
}
@article {2447,
	title = {DataONE webinar: Assuring the quality of your data: A natural history collection community perspective},
	year = {2016},
	keywords = {data quality},
	url = {https://vimeo.com/151555304},
	author = {Paul, Deborah L. and Seltmann, Katja C. and Russell, Laura and Bloom, David}
}
@conference {2431,
	title = {Enhancing your ecological research with iDigBio biological specimen data},
	booktitle = {Ecological Society of America},
	year = {2015},
	keywords = {EF-1115210, ESA2015, IGN 8-1, Presentation, Research},
	author = {Paul, Deborah L. and Ellwood, Elizabeth R.}
}
@article {516,
	title = {Entomological Collections Network 2012: Update from the iDigBio HUB},
	year = {2012},
	abstract = {iDigBio{\textquoteright}s Second Summit is October 23 - 24, 2012 in Gainesville, FL. At this event, iDigBio - Integrated Digitized Biocollections - and the Thematic Collections Networks (TCNs) will meet to discuss progress during the first year and goals for upcoming years. At ECN \& ESA, I will present an update of activities at iDigBio and answer frequently asked questions about our structure, including "What is iDigBio? Where did we come from and what makes us unique? When is iDigBio going live with real data? Where is the data coming from? What does the data portal look like?" My talk will also provide information about the services/tools currently available through iDigBio and what is proposed for the future. Finally, I will summarize the efforts of our current working groups, which include Workflows, Authority Files, Standards, Augmenting Optical Character Recognition (OCR), Cyberinfrastructure and Public Participation in Science. Interested parties are encouraged to join an existing TCN with a PEN proposal, propose a new TCN, suggest a workshop or join an existing working group.},
	keywords = {ECN, Entomological Collections Network, entomology, ESA, HUB, iDigBio},
	url = {http://www.idigbio.org/sites/default/files/workshop-presentations/ecn-esa2012/HUBupdateESA_iDigBio.pptx},
	author = {Deborah L Paul and Gregory Riccardi and Gil Nelson}
}
@article {517,
	title = {Entomological Society of America (ESA) 2012: Update from the iDigBio HUB},
	year = {2012},
	abstract = {iDigBio{\textquoteright}s Second Summit is October 23 - 24, 2012 in Gainesville, FL. At this event, iDigBio - Integrated Digitized Biocollections - and the Thematic Collections Networks (TCNs) will meet to discuss progress during the first year and goals for upcoming years. At ESA/ECN, I will present an update of activities at iDigBio and answer frequently asked questions about our structure, including "What is iDigBio? Where did we come from and what makes us unique? When is iDigBio going live with real data? Where is the data coming from? What does the data portal look like?" My talk will also provide information about the services/tools currently available through iDigBio and what is proposed for the future. Finally, I will summarize the efforts of our current working groups, which include Workflows, Authority Files, Standards, Augmenting Optical Character Recognition (OCR), Cyberinfrastructure and Public Participation in Science. Interested parties are encouraged to join an existing TCN with a PEN proposal, propose a new TCN, suggest a workshop or join an existing working group. },
	keywords = {Entomological Society of America, ESA, HUB, iDigBio},
	url = {http://www.idigbio.org/sites/default/files/workshop-presentations/ecn-esa2012/HUBupdateESA_iDigBio.pptx},
	author = {Deborah L Paul and Gregory Riccardi and Gil Nelson}
}
@article {225,
	title = {Five task clusters that enable efficient and effective digitization of biological collections},
	journal = {ZooKeys},
	volume = {209},
	year = {2012},
	month = {07/2012},
	chapter = {19},
	abstract = {This paper describes and illustrates five major clusters of related tasks (herein referred to as task clusters) that are common to efficient and effective practices in the digitization of biological specimen data and media. Examples of these clusters come from the observation of diverse digitization processes. The staff of iDigBio (The U.S. National Science Foundation{\textquoteright}s National Resource for Advancing Digitization of Biodiversity Collections) visited active biological and paleontological collections digitization programs for the purpose of documenting and assessing current digitization practices and tools. These observations identified five task clusters that comprise the digitization process leading up to data publication: (1) predigitization curation and staging, (2) specimen image capture, (3) specimen image processing, (4) electronic data capture, and (5) georeferencing locality descriptions. While not all institutions are completing each of these task clusters for each specimen, these clusters describe a composite picture of digitization of
biological and paleontological specimens across the programs that were observed. We describe these clusters, three workflow patterns that dominate the implemention of these clusters, and offer a set of workflow recommendations for digitization programs.},
	keywords = {ADBC, biodiversity informatics, Biological specimen collections, curation, digitization, EF-1115210, iDigBio, Imaging, paleontological specimen collections, task cluster, workflow},
	doi = {doi: 10.3897/zookeys.209.3135},
	url = {http://www.pensoft.net/journals/zookeys/article/3135/five-task-clusters-that-enable-efficient-and-effective-digitization-of-biological-collections},
	author = {Gil Nelson and Deborah L Paul and Gregory Riccardi and Austin R. Mast}
}
@conference {2537,
	title = {A global survey of natural history collections},
	booktitle = {Society for the Preservation of Natural History Collections 31st Annual Meeting},
	year = {2016},
	month = {06/2016},
	address = {Berlin, Germany},
	author = {Paul, Deborah L. and Masinde, Siro and Shari Ellis and Leonard Krishtalka and Barbara M. Thiers and Ganglo, Jean and Dalcin, Eduardo and Nakae, Masanori}
}
@conference {2430,
	title = {Got metadata? GBIF Task Force on accelerating discovery of biological collections data},
	booktitle = {Entomological Collections Network 2015},
	year = {2015},
	keywords = {ECN2015, EF-1115210, Presentation},
	author = {Paul, Deborah L.}
}
@conference {547,
	title = {iConference2013: Augmenting optical character recognition (OCR) for improved digitization: Strategies to access scientific data in natural history collections},
	booktitle = {iConference 2013},
	year = {2013},
	month = {02/2013},
	publisher = {iSchools},
	organization = {iSchools},
	address = {Ft. Worth, Texas},
	abstract = {The Augmenting OCR Working Group (A-OCR WG) at Integrated Digitized Biocollections (iDigBio) seeks to improve community OCR strategies and algorithms for faster, better parsing of OCR output derived from valuable data on natural history collection specimen labels. This task is exceedingly difficult because museum labels are often annotated, and vary in content, form and font. Under the National Science Foundation{\textquoteright}s (NSF) Advancing Digitization of Biological Collections (ADBC) program, iDigBio is building a cyberinfrastructure to aggregate quality data from museum specimens housed in collections across the United States for use by researchers, educators, environmentalists and the public. Since March of 2012, the A-OCR WG formed from community consensus to begin its role in this endeavor, defining reachable goals including setting up a hackathon concurrent with iConference 2013. This paper reports on the definition of some key problems identified by the A-OCR WG since these science problems will drive research and cyberinfrastructure development.},
	keywords = {EF-1115210, iConference2013, iDigBio, information analysis, information organization, information retrieval, information services, machine language, Natural Language, OCR, qualitative data analysis, research methods},
	doi = {10.9776/13266},
	url = {https://www.ideals.illinois.edu/bitstream/handle/2142/39427/266.pdf?sequence=4},
	author = {Deborah L Paul and Heidorn, P. Bryan}
}
@conference {546,
	title = {iConference2013: Improving the Character of Optical Character Recognition (OCR): iDigBio Augmenting OCR Working Group Seeks Collaborators and Strategies to Improve OCR Output and Parsing of OCR Output},
	booktitle = {iConference 2013},
	year = {2013},
	month = {02/2013},
	publisher = {iSchools},
	organization = {iSchools},
	address = {Ft. Worth, Texas},
	abstract = {There are an estimated 2 {\textendash} 3 billion museum specimens world {\textendash} wide (OECD 1999, Ari{\~n}o 2010). In an effort to increase the research value of their collections, institutions across the U. S. have been seeking new ways to cost effectively transcribe the label information associated with these specimen collections. Current digitization methods are still relatively slow, labor-intensive, and therefore expensive. New methods, such as optical character recognition (OCR), natural language processing, and human-in-the-loop assisted parsing are being explored to reduce these costs. The National Science Foundation (NSF), through the Advancing Digitization of Biodiversity Collections (ADBC) program, funded Integrated Digitized Biocollections (iDigBio) in 2011 to create a Home Uniting Biodiversity Collections (HUB) cyberinfrastructure to aggregate and collectively integrate specimen data and find ways to digitize specimen data faithfully and faster and disseminate the knowledge of how to achieve this. The iDigBio Augmenting OCR Working Group is part of this national effort. - speed up the overall digitization process, - lower the cost, - improve overall efficiency, - assure digitized data is fit-for-use (NIBA 2010, Chapman 2005), and - provide the resulting digitized data records to researchers more quickly. The iDigBio Augmenting OCR (A-OCR) working group is actively engaged in identifying opportunities for collaboration to leverage OCR tools and technologies that are successful (both within and outside of the biology digitization domain) and disseminate these tools to the public or seek funding for development.},
	keywords = {EF-1115210, iConference2013, iDigBio, information analysis, information organization, information retrieval, information services, machine language, Natural Language, OCR, qualitative data analysis, research methods},
	doi = {10.9776/13493},
	url = {https://www.ideals.illinois.edu/bitstream/handle/2142/42089/493.pdf?sequence=2},
	author = {Robert Anglin and Jason Best and Figueiredo, Renato and Gilbert, Edward and Gnanasambandam, Nathan and Gottschalk, Stephen and Haston, Elspeth and Heidorn, P. Bryan and Lafferty, Daryl and Lang, Peter and Nelson, Gil and Deborah L Paul and Ulate, William and Kimberly Watson and Zhang, Qianjin}
}
@article {559,
	title = {iConference2013: Introducing iDigBio and the Augmenting OCR Working Group},
	year = {2013},
	abstract = {Highlights of this introduction include: "What is iDigBio? Who is the AOCR wg?" Why we are here at iConference2013? Where did we come from and what makes us unique? Where is our data coming from? and How can the iSchools community get involved?{\textquotedblright} The AOCR wg is working to find ways to speed up and improve access to digitization of natural history museum specimen data and we think the Information Science community can help. Five talks follow, explaining unique key parts of our story. Note the iDigBio* Augmenting Optical Character Recognition Working Group (AOCR wg) put together 4 submissions for iSchools iConference2013: this workshop, a paper, a poster, and an alternative event. All of these are concurrent with a Hackathon at the Botanical Research Institute of Texas (BRIT) as part of a strategic outreach effort. Interested parties are encouraged to participate in our Hackathon, join an existing iDigBio working group, propose and host a workshop, and contribute to our forums and online materials.

        Integrated Digitized Biocollections (iDigBio) is a National Science Foundation (NSF) project funded under the Advancing Digitization of Biological Collections (ADBC) program. Thematic Collection (Museum) Networks (TCNs) are NSF-funded to digitize specimen data needed to answer grand challenge questions and provide that data to iDigBio. iDigBio is building a cyberinfrastructure to integrate data from museums across the USA, making it accessible to everyone. 

},
	keywords = {Augmenting Optical Character Recognition, Darwin Core, iConference2013, iDigBio, Information Science, Natural Language Processing, Parsing, XML},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/aocr-hackathon/LABELX.pdf/iConference2013WorkshopDP.pptx},
	author = {Deborah L Paul}
}
@proceedings {548,
	title = {iConference2013: Workshop -- Help iDigBio Reveal Hidden Data: iDigBio Augmenting OCR Working Group Needs You ($\#$CNFWSP11)},
	year = {2013},
	abstract = {Integrated Digitized Biodiversity Collections, iDigBio, is an initiative funded under the National Science Foundation{\textquoteright}s (NSF) Advancing Digitization of Biological Collections (ADBC) program set up to help natural history museums get specimen data for hundreds of millions of specimens out of drawers, off of labels, out of field notebooks, out of old publications and into integrated databases for everyone{\textquoteright}s use. The iDigBio Augmenting OCR Working Group needs your wisdom, knowledge and collaboration as part of our multi-faceted approach to improve OCR strategies and natural language processing (NLP) algorithms used in digitization. Our workshop panelists, members of our working group, are eager to introduce the iSchools community to our challenges and get your input in our break-out sessions. Our research areas of interest include: image segmentation, autocorrection of typographical errors, semantic autocorrection, autonormalization, automated text segmentation, generating consensus records and user interfaces for these tasks. We seek your insights, collective experiences and partnership in order to find ways to improve the digitization process to create a national searchable online specimen-based data set that is fit-for-use by scientists and the public. Some ideas generated in this session may be implemented at the iDigBio hackathon being held at the Botanical Research Institute of Texas (BRIT) during the iConference.
},
	keywords = {aocr, EF-1115210, iConference2013, iDigBio hackathon, information analysis, information organization, information retrieval, information services, iSchools, machine language, Natural Language, OCR, qualitative data analysis, research methods},
	doi = {10.9776/13471},
	url = {http://idigbio.adobeconnect.com/p6463wkhtx1/},
	author = {Paul, Deborah L. and Heidorn, P. Bryan and Best, Jason and Gilbert, Edward and Neill, Amanda and Nelson, Gil and Ulate, William}
}
@conference {1630,
	title = {iConference2013:Help iDigBio reveal hidden data: iDigBio Augmenting OCR working group needs you - Part II},
	year = {2013},
	publisher = {iSchools},
	organization = {iSchools},
	address = {Ft. Worth, Texas},
	abstract = {Integrated Digitized Biocollections (iDigBio) is a nation-wide effort funded by the National Science Foundation (NSF) to digitize data from hundreds of millions of natural history museum specimens. In a concerted five-part outreach effort, the iDigBio Augmenting Optical Character Recognition Working Group (A-OCR WG) coordinated a 2013 iConference Workshop, Poster, Notes submission, Alternative Event and a concurrent Hackathon hosted by the Botanical Research Institute of Texas (BRIT). The Workshop titled, " Help iDigBio Reveal Hidden Data: iDigBio Augmenting OCR Working Group Needs You" introduces the iSchools community to iDigBio and the A-OCR WG mission and challenges to improve digitization efficiency. This related Alternative Event provides the A-OCR WG an opportunity to report back to iConference Workshop attendees about our first experience using a Hackathon model to work on parsing and user interface design issues specific to our needs. We anticipate to a lively, open discussion with event attendees and future collaborators.},
	keywords = {EF-1115210, iConference2013, iDigBio},
	url = {http://hdl.handle.net/2142/42515},
	author = {Paul, Deborah L. and Heidorn, P. Bryan and Jason Best and Edward Gilbert and Amanda Neill and Ulate, William}
}
@article {2535,
	title = {iDigBio at Cisco Pit Stop: Digitising the Natural History Museum{\textquoteright}s collections},
	year = {2016},
	abstract = {Deb Paul was invited to give the opening talk on the workshop day of the meeting. The aim of this talk was to introduce small and medium-sized enterprises (businesses) to our museum specimen digitization challenges. Topics covered included data transcription and quality, data cleaning, authority files, imaging issues, non-standard data formats, data linking issues, data capture from 3-D objects, and the need for technological advances in areas such as machine learning and natural language processing. February 26th, 2016},
	author = {Paul, Deborah L. and Gregory Riccardi}
}
@article {274,
	title = {iDigBio Botany 2012 Workshop: Morphbank},
	year = {2012},
	abstract = {This presentation was given by Deborah Paul at the iDigBio Botany 2012 Workshop.},
	keywords = {iDigBio Botany 2012 Workshop},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/botany2012/workshop/MorphbankQuickTourV2_Botany2012.pptx},
	author = {Deborah L Paul}
}
@article {308,
	title = {iDigBio Digitizing Plant Specimens Workshop: Pre \& Post Digitization Curation },
	year = {2012},
	abstract = {iDigBio "Digitizing Plant Specimens Workshop" Valdosta,Georgia September 2012},
	keywords = {Digitizing Plant Specimens Workshop 2012},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/dpc2012/PrePostDigitizationCurationDP.pptx},
	author = {Deborah L Paul}
}
@article {307,
	title = {iDigBio Digitizing Plant Specimens Workshop: Sharing Data},
	year = {2012},
	abstract = {iDigBio "Digitizing Plant Specimens Workshop" Valdosta,Georgia September 2012},
	keywords = {Digitizing Plant Specimens Workshop 2012},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/dpc2012/SharingDataDP.pptx},
	author = {Deborah L Paul}
}
@article {545,
	title = {iDigBio Hackathon: 1st iDigBio - BRIT Hackathon},
	year = {2013},
	abstract = {Overview of the Hackathon goals and introduction to iDigBio for those new to the project. Review this presentation before the other hackathon presentations to learn about the aOCR working group and the talks / presentations / work being done at this hackathon and after.},
	keywords = {Hackathon, Image Segmentation, Machine Learning, Natural Language, OCR, Parsing, Web Services, WorkFlows},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/aocr-hackathon/1stiDigBio_BRITHackathon.pptx},
	author = {Deborah L Paul}
}
@article {438,
	title = {iDigBio Paleocollections Workshop 2012: Discovering Effective Workflows},
	year = {2012},
	keywords = {iDigBio Paleocollections Workshop 2012},
	url = {https://www.idigbio.org/sites/default/files/videos/slides/EffectiveWorkflowsPaleoWorkshop.pptx},
	author = {Deborah L Paul}
}
@article {437,
	title = {iDigBio Paleocollections Workshop 2012: Intro to Morphbank Image Repository Plus...},
	year = {2012},
	abstract = {This talk is designed as an overview, an introduction to Morphbank and specifically focuses on main features of Morphbank and using the custom workbook to allow paleontologists to share / store all pertinent metadata desired / required.},
	keywords = {2012, iDigBio Paleocollections Workshop April 26-29},
	url = {https://www.idigbio.org/sites/default/files/videos/slides/mbPaleoWorkshop.pptx},
	author = {Deborah L Paul}
}
@article {470,
	title = {IDigBio Summit II: Augmenting OCR (aOCR)},
	year = {2012},
	keywords = {IDigBio Summit II},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/summit2/Paul_AocrSummit2012.pptx},
	author = {Edward Gilbert and Deborah L Paul}
}
@article {473,
	title = {IDigBio Summit II: Georeferencing (GWG)},
	year = {2012},
	keywords = {IDigBio Summit II},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/summit2/wg_paul_GeotrainSummit2012_db_dp_shari.pptx},
	author = {Deborah L Paul and David Bloom and Shari Ellis}
}
@conference {2519,
	title = {Integrated Digitized Biocollections (iDigBio): mobilizing natural history collections for understanding island biodiversity},
	booktitle = {Island Biology 2016},
	year = {2016},
	month = {07/2016},
	address = {Terceira Island, Azores},
	abstract = {Advancements in digital technologies are rapidly improving efficiency in the aggregation, use, and sharing of natural history collections and biodiversity specimen data.  Researchers now have access to ever increasing herbarium data sets for visualization, analysis, and modeling to assist with taxonomic research and conservation assessments.  iDigBio (www.idigbio.org), the national resource for the U.S. National Science Foundation{\textquoteright}s Advancing Digitization of Biodiversity Collections (ADBC) program, is mobilizing data and images for millions of biodiversity specimens.  Voucher specimen data, both neontological and paleontological, from island communities across the globe is available in electronic format through the iDigBio web-based graphical interface (www.idigbio.org/portal/) and APIs.  It provides a wealth of information for the research community, government agencies, students, educators, and the general public, including baseline data for biodiversity assessments and non-native or invasive species distribution, providing data and images for new species discovery, and assisting with efficient location of voucher specimen collections for further research.  This presentation will highlight the portal, available tools, data gaps the Island Biology community may be able to help narrow, and potential research uses of the data as they pertain to expanding the understanding of the biodiversity and biogeography of island flora and fauna and the communities they comprise.},
	author = {James, Shelley A. and Paul, Deborah L. and Collins, Matthew and Nelson, Gil}
}
@article {677,
	title = {Integrating Augmented OCR and Georeferencing in Natural History Collection (NHC)~Digitization},
	year = {2013},
	keywords = {SPNHC, SPNHC 2013},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/spnhc2013/SPHNC2013_aOCR_GWGnew.pdf},
	author = {Deborah L Paul}
}
@article {1888,
	title = {Introduction to the Five Task Clusters of Digitization},
	year = {2014},
	keywords = {SiBBr 2014},
	url = {https://www.idigbio.org/wiki/images/0/06/IntroTo5TaskClusters_SiBBr.pdf},
	author = {Deborah L Paul}
}
@conference {2536,
	title = {Museum and Collections Biodiversity Informatics: meeting skills needs for creating, sharing, and using the digital relatives of museum specimens},
	booktitle = {Society for the Preservation of Natural History Collections 31st Annual Meeting},
	year = {2016},
	month = {06/2016},
	address = {Berlin, Germany},
	keywords = {SPNHC2016},
	author = {Paul, Deborah L. and Collins, Matthew and Laurence Livermore and Dimitrios Koureas}
}
@conference {2427,
	title = {Providing the computing skills for the next generation of biodiversity scientists},
	booktitle = {SPNHC 2015},
	year = {2015},
	keywords = {EF-1115210, Presentation, SPNHC2015},
	author = {Michonneau, Fran{\c c}ois and Paul, Deborah L.}
}
@conference {2438,
	title = {Specimens full circle: collection to digitization to data use},
	booktitle = {SPNHC 2015},
	year = {2015},
	keywords = {EF-1115210, Presentation, SPNHC2015},
	author = {Smith, Dena M. and Paul, Deborah L. and Blagoderov, Vladimir}
}
@article {1328,
	title = {SPNHC 2014: Progress in Digitization: Using optical character recognition (OCR) output in digitization},
	year = {2014},
	abstract = {Before iDigBio, that{\textquoteright}s Integrated Digitized Biocollections, others began the work of figuring out how to use OCR output with machine learning (ML) and natural language processing (NLP) to improve the efficiency and speed with which data from museum specimen label images can be captured and validated. The Augmenting Optical Character Recognition (aOCR WG) Working Group at iDigBio is pleased to be building on that foundation. Improvements have been realized in parsing algorithms and visualization of data. Recently, researchers at The Royal Botanic Garden Edinburgh (RBGE) successfully used word clouds from OCR output to reveal useful data, otherwise dark, until a specimen label was digitized completely (Haston, et al TDWG 2013). Their work indicates this method results in greater transcriber job satisfaction. Inspired by this work, the OCR Integration Track Team at the iDigBio Citscribe Hackathon showed how indexing, scoring, and visualizing OCR output reveals otherwise hidden search terms, uncovers errors, and can improve the data transcriber and data validator experience. Using open-source software, we presented these ideas to those with transcription tools up-and-running including Notes From Nature, Biodiversity Heritage Library (BHL), ALA Biodiversity Volunteer Portal, Smithsonian Digital Volunteers, and the Lichen, Bryophytes and Climate Change Volunteer Portal using Symbiota software. The aOCR WG is working collaboratively with the Joint Research Activity (JRA) Synthesys3 Project to share expertise for automated data collection for digital images. Got text in your images? How might OCR output work for you? Come talk to our aOCR WG to find out and to share your expertise.},
	keywords = {confidence scores, data visualization, digitization, Machine Learning, Natural Language Processing, optical character recognition, SPNHC 2014, SPNHC 2014: Progress in Digitization},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/spnhc2014/Paul_UsingOCRoutput.pptx},
	author = {Deborah L Paul and Andrea Matsunaga and Miao Chen and Jason Best and Sylvia Orli and Elspeth M Haston}
}
@article {1902,
	title = {Task Cluster 4 - Electronic Data Capture: collection data management and data capture },
	year = {2014},
	keywords = {SiBBr 2014},
	url = {https://www.idigbio.org/wiki/images/f/f9/Cluster4_SpecimenDataCapture.pdf},
	author = {Paul, Deborah L.}
}
@article {1905,
	title = {Task Cluster - Georeferencing and Enrichment},
	year = {2014},
	keywords = {SiBBr 2014},
	url = {https://www.idigbio.org/wiki/images/d/db/Georeferencing_Enrichment.pdf},
	author = {Paul, Deborah L.}
}
@article {1929,
	title = {Theory: publishing with the IPT},
	year = {2015},
	keywords = {Data Sharing Data Standards and Demsifying the IPT},
	url = {http://idigbio.org/sites/default/files/workshop-presentations/demystifyingIPT/IPTiDigBio-20150113-1E-extensions.pptx},
	author = {Paul, Deborah L. and Derek Masaki and Laura Russell and David Shorthouse}
}
@article {1927,
	title = {Theory: What are the metadata?},
	year = {2015},
	keywords = {Data Sharing Data Standards and Demsifying the IPT},
	url = {http://idigbio.org/sites/default/files/workshop-presentations/demystifyingIPT/IPTiDigBio-20150113-1C-metadata.pptx},
	author = {David Shorthouse and Derek Masaki and Paul, Deborah L.}
}
@conference {2423,
	title = {WeDigBio: Worldwilde Engagement for the Digitization of Biocollections},
	booktitle = {SPNHC 2015},
	year = {2015},
	keywords = {EF-1115210, Presentation, SPNHC2015},
	author = {Kimberly, Paul G. and Flemons, Paul K.J. and Guralnick, Robert P. and Mast, Austin R. and Ellwood, Elizabeth R. and Paul, Deborah L. and Love, Kevin J.}
}
@article {2061,
	title = {Welcome and Introduction to iDigBio},
	year = {2015},
	keywords = {Field to Database},
	url = {https://www.idigbio.org/sites/default/files/workshop-presentations/field-to-database/IntroAndLogisticsF2DBiDigBio.pptx},
	author = {Paul, Deborah L.}
}
