Browse by Author "Heidorn, P. Bryan"

  • Paul, Deborah L.; Heidorn, P. Bryan (iSchools, 2013-02)
    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 ...

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  • Heidorn, P. Bryan (Published by the Dublin Core Metadata Initiative and Universitätsverlag Göttingen 2008, 2008-09-24)
    This paper describes the information properties of museum specimen labels and machine learning tools to automatically extract Darwin Core (DwC) and other metadata from these labels processed through Optical Character ...

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  • Wei, Qin; Heidorn, P. Bryan (2008-10-17)
    The information in museum specimen labels is not well recognized and used. The reason is mainly because this information is not part of the information retrieval systems. It is very expensive to have human to hand input ...

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  • Heidorn, P. Bryan; Palmer, Carole L.; Wright, Daniel T. (BioMed Central, 2007-02-12)
    Data management and integration are complicated and ongoing problems that will require commitment of resources and expertise from the various biological science communities. Primary components of successful cross-scale ...

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  • Community Inquiry Lab Collaborative; Bishop, Ann Peterson; Brock, André; Bruce, Bertram C.; Crump, Eric; Heidorn, P. Bryan; Jones, M. Cameron; Linderman, David; Lunsford, Karen J.; Nazarova, Muzhgan; Palmer, Brent; Ramprakash, Rajeev (2004-03)
    Meeting these challenges is crucial as we work to address community aspirations, capabilities, and problems. We are contributing to this effort through our current research and development on Community Inquiry Labs (CILs). ...

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  • Smith, Linda C.; Cragin, Melissa H.; Palmer, Carole L.; MacMullen, W. John; Heidorn, P. Bryan (2008-06-20)
    Data curation is the active and ongoing management of research data through its lifecycle of interest and usefulness to scholarship, science, and education. The Graduate School of Library and Information Science at the ...

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  • Heidorn, P. Bryan; Palmer, Carole L.; Cragin, Melissa H.; Smith, Linda C. (2007-04-20)
    Abstract Scientific data problems do not stand in isolation but are part of a larger set of challenges associated with the expansion of scientific information gathering capacity and changes in scholarly communication ...

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  • Heidorn, P. Bryan; Stahlman, Gretchen Renee; Chong, Steven (iSchools, 2015-03-15)
    Biological Field Stations provide a unique set of opportunities and challenges for digital curation. The stations serve as the center of short-term and long-term biological research, from biomolecular-scale to ecosystems-scale ...

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  • Heidorn, P. Bryan; Sandore, Beth (Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 1997)
    The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this ...

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  • Cragin, Melissa H.; Heidorn, P. Bryan; Palmer, Carole L.; Smith, Linda C. (2007-06-25)
    Several models of service are emerging in academic and research libraries for the collection and management of scientific data – an important segment of an institution’s total scholarly production. As libraries work to ...

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  • Paul, Deborah L.; Heidorn, P. Bryan; Best, Jason; Gilbert, Edward; Neill, Amanda; Nelson, Gil; Ulate, William (iSchools, 2013-02)
    Integrated Digitized Biodiversity Collections, iDigBio, is funded under the National Science Foundation's (NSF) Advancing Digitization of Biological Collections (ADBC) program to help hundreds of natural history museums ...

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  • Paul, Deborah L.; Heidorn, P. Bryan; Best, Jason; Gilbert, Edward; Neill, Amanda; Ulate, William (iSchools, 2013-02)
    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 ...

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  • Heidorn, P. Bryan (Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign, 1999)

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  • Anglin, Robert; Best, Jason; Figueiredo, Renato; Gilbert, Edward; Gnanasambandam, Nathan; Gottschalk, Stephen; Haston, Elspeth; Heidorn, P. Bryan; Lafferty, Daryl; Lang, Peter; Nelson, Gil; Paul, Deborah L.; Ulate, William; Watson, Kimberly; Zhang, Qianjin (iSchools, 2013-02)
    There are an estimated 2 – 3 billion museum specimens world – wide (OECD 1999, Ariño 2010). In an effort to increase the research value of their collections, institutions across the U. S. have been seeking new ways to ...

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  • Bruce, Bertram C.; Bishop, Ann Peterson; Heidorn, P. Bryan; Lunsford, Karen J.; Poulakos, Steven; Won, Mihye (American Library Association, 2003-01)
    Some may think of the unveiling a digital library (DL) as an end point. Yet, even though lesson plans may be provided with it, a DL only potentially affords meaningful learning opportunities. Unfortunately, the better a ...

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  • Heidorn, P. Bryan; Zhang, Qianjin (iSchools, 2013-02)
    The LABELX (Label Annotation through Biodiversity Enhanced Learning) is an extension of the HERBIS NLP system reported previously (Heidorn & Wei, 2008). The objective of the system is to formaly structure output from Optical ...

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  • Wei, Qin; Heidorn, P. Bryan; Freeland, Chris (2010-02-03)
    Taxonomic Name Recognition is prerequisite for more advanced processing and mining of full-text taxonomic literatures. This paper investigates three issues of current TNR tools in detail: (1) The difficulties and methods ...

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  • Heidorn, P. Bryan (The Johns Hopkins University Press, 2008-10)
    One of the primary outputs of the scientific enterprise is data, but many institutions such as libraries that are charged with preserving and disseminating scholarly output have largely ignored this form of documentation ...

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  • Heidorn, P. Bryan (Johns Hopkins University Press and the Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign, 2008)
    One of the primary outputs of the scientific enterprise is data, but many institutions such as libraries that are charged with preserving and disseminating scholarly output have largely ignored this form of documentation ...

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