5 research outputs found

    Chinese Scientific Journals: An Analysis of the Need at Cornell

    Get PDF

    Purposeful Gaming: Crowdsourcing the Correction of OCRed Text in Biodiversity Heritage

    No full text
    Optical Character Recognition (OCR) of scanned text enables full-text searching. Unfortunately, OCR software does not produce 100% accurate representation of the text, especially with older works having varying fonts, odd layouts and ink bleed-through. Led by Missouri Botanical Garden, and partnering with New York Botanical Garden, Harvard Museum of Comparative Zoology and Cornell, an IMLS-funded project has developed 2 games to engage the public in correcting inaccurately OCRed text in BHL

    Preservation Committee Update

    Full text link
    Contributing institution: Cornell Universit

    Report of the Life Sciences Working Group

    Full text link
    This is a report on the Cornell University Library activities in response to two linked faculty initiatives, the Cornell Genomics Initiative (CGI) and the New Life Sciences Initiative (NLSI). The Cornell University Library has always supported the life sciences, through instruction on the use of Medline and Biosis since before this incoming freshman class was born and through exemplary collections in the life sciences. This report describes how the Library responded to the two University initiatives in the life sciences that began in 1998. In Phase I (CGI) the activity was centered in Mann Library, in Phase II the activity was in transition, in Phase III (NLSI) the library participation expanded to all the science units
    corecore