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Open Repositories Conference

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Author: Moen, William E. ×

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Now showing 1 - 5 of 5
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    Designing and Implementing a Learning Object Repository: Issues of Complexity, Granularity, and User Sense-Making
    (Georgia Institute of Technology, 2009-05-20) Moen, William E.
    The Texas Center for Digital Knowledge at the University of North Texas is designing and implementing a DSpace/Manakin learning object repository (LOR) for the Texas Higher Education Coordinating Board to store and provide access to redesigned undergraduate courses being created through the Board's Texas Course Redesign Project (TCRP). The content for the THECB LOR differs in significant ways from content stored in other well-known and evolving LORs, since the content is in the form of complete or partial courses. While this content can be represented as a single learning object (i.e., a complete course as one learning object), the THECB LOR is making the complete courses available as learning objects and it is providing access to components of the courses' content as discrete learning objects for reuse and repurposing. A number of challenges and issues have emerged in the design, development, and implementation the LOR, and this paper focuses on three key aspects and the solutions we are pursuing: 1) complexity of the course content and granularity; 2) submission of complex objects and metadata; and 3) user interface design to assist users in making sense of this repository and its contents.
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    New Use Cases and Best Practices Panel
    (Georgia Institute of Technology, 2009-05-20) Moen, William E. ; Scherle, Ryan ; Trimble, Jeffrey A. ; Leggett, John ; McFarland, Mark ; Mikeal, Adam ; Phillips, Scott ; Barragan, Salvador
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    Submission Tool for the DSpace-Based Learning Object Repository
    (Georgia Institute of Technology, 2009-05) Moen, William E. ; Polyakov, Serhiy
    The poster briefly reports our experience with building Learning Object Repository based on DSpace and analyzes some problems we encountered with the submission system. The poster describes custom submission tool that can be used as an alternative to the DSpace submission system and provides useful extensions that allow connecting to the automatic keyword extraction services and generating of IMS and SCORM packages.
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    Customizing DSpace Manakin for Educational Video Collections to Enhance User Experience
    (Georgia Institute of Technology, 2009-05) Foster, Marie ; Huang, Jane Q. ; Moen, William E. ; Polyakov, Serhiy
    The poster reports our experience of using DSpace Manakin for Starlink Video Repository. The project is a cooperation between STARLINK (Richardson, TX) and TxCDK of University of North Texas, under the supervision of Dr. William Moen. The project uses DSpace v.1.5 Manakin to create a dynamic digital repository system to store, manage and present STARLINK's various video collections. STARLINK has recently successfully launched its Ideas Collection with the new depository with much improved user interface and seamless integration with STARLINK's existing web site. More collection will be added to the depository for more streamlined operation. The project showcases DSpace as a low-cost and flexible platform appropriate for educational institution like STARLINK to run a web-based depository system for better resource sharing and user interaction. The poster will also discuss the challenges the project faced in customizing DSpace to provide different types of access for subscription and non-subscription users, and DSpace Manakinâ s better interface design functionalities.
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    High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
    (Georgia Institute of Technology, 2009-05) Amin, Aliasgar ; Arsiwala, Zainab ; Best, Jason ; Huang, Jane Q. ; McCotter, Melody ; Moen, William E. ; Neill, Amanda
    Hundreds of thousands of specimens in herbaria and natural history museums worldwide are potential candidates for digitization, making them more accessible to researchers. An herbarium contains collections of preserved plant specimens created for scientific use. Herbarium specimens are ideal natural history objects for digitization, as the plants are pressed flat and dried, and mounted on individual sheets of paper, creating a nearly two-dimensional object. Building digital repositories of herbarium specimens can increase use and exposure of the collections while simultaneously reducing physical handling. As important as the digitized specimens are, the data contained on the associated specimen labels provide critical information about each specimen (e.g., scientific name, geographic location of specimen, etc.). The volume and heterogeneity of these printed label data present challenges in transforming them into meaningful digital form to support research. The Apiary Project is addressing these challenges by exploring and developing transformation processes in a systematic workflow that yields high-quality machine-processable label data in a cost- and time-efficient manner. The University of North Texas's Texas Center for Digital Knowledge (TxCDK) and the Botanical Research Institute of Texas (BRIT), with funding from an Institute of Museum and Library Services National Leadership Grant, are conducting fundamental research with the goal of identifying how human intelligence can be combined with machine processes for effective and efficient transformation of specimen label information. The results of this research will yield a new workflow model for effective and efficient label data transformation, correction, and enhancement.