Notes
Slide Show
Outline
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Gobs of Blobs!
  • Scott E. Siddall
  • Denison University
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Ubiquity of things digital
  • How many digital assets existed in 1984?
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Digital assets are…
  • Images
    • Some common and some unique
    • Quality varies enormously
  • Audio and video
    • multiple formats including streaming
  • Texts and images of texts
    • PDFs, Word, OCR, searchable or not
  • Learning objects
    • simple and compound (entire course content)
  • URLs
  • Annotations to the above


  • OK….anything digital…some legally held and some not
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Binary Large Objects
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Databases to the rescue
  • Different types, functions, structures
    • flat file, relational, hierarchical….
  • DAM databases are unique
    • Objects are digital surrogates
      • e.g., images of an object
    • Objects are digital assets themselves
      • e.g., digital video clips, digital images of events
    • Digital object in a database field = repository
    • Digital object stored separately = referatory
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DAM databases
    • Binary content cannot be easily searched, indexed
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Enter metadata
  • Librarians have crafted metadata for decades
  • The schema (read open standards)
    • Dublin Core, VRA, METS, etc
    • MARC record and the OPAC
      • Database of bibliographic and item records
      • Searchable, indexed
      • No digital surrogate, only metadata
        • Cataloged objects are physical
    • Interconnected: convert DC->MARC; Embed DC in HTML
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Sustainability through collaboration
  • Libraries:
    • Digital library initiatives at larger institutions, national efforts
    • Institutional collections – formal cataloging
    • Specialized data sets (social science, GIS, etc)
    • Repositories of scholarship (faculty and student…both archival and ephemeral)
  • Instructional technologists:
    • Faculty collections scattered in space, different platforms
      • Excel, Access, FileMaker, analog content
    • Course management systems, ePortfolios
    • Training and support issues
  • Technologists:
    • Another db on a server – reliability, backup, authn/access
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Sustainability through collaboration
  • Among technologists, librarians, faculty, students
  • All confront:
    • Policy issues
      • intellectual property, rights management
    • Presentation issues, in class and out
      • manipulation, retention, printing
    • Metadata issues
      • standards, effort to create
  • Open source DAM?
    • By higher ed, for higher ed
    • Greenstone, Fedora, Connexions, DSpace, Sakai
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Methods of DAM
  • Digitize
    • Standards per collection, by discipline, national and international requirements
    • Full-resolution versus service quality, thumbnails
  • Create metadata
    • Standard schema, with additions and mapping
  • Make accessible
    • Copyrights, releases, consortial agreements, export
    • Connect to course management systems
      • See the OCLC E-learning white paper
    • Open Archives Initiative and WorldCat
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Creating metadata
  • Convert tacit information into explicit
  • Highly structured format
  • Limited opportunity to outsource
  • Creates complex workflow
  • ePortfolios (e.g., OSPI)
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Major criteria for DAM
  • Allows collaborative and distributed collection development/management
  • Basic and advanced searching across collections, across sites (federated searches, virtual collections, stored result sets)
  • Web-based client with easy-to-use interface
  • Common client-side players/viewers
  • Client tools for manipulation, comparison, per-user annotation
  • Support for multiple metadata standards
  • Support for many object formats, and developing formats (e.g., jpeg 2000)
  • Support for high-resolution, zoom-in features
  • Supports Unicode text for display and searching
  • URL access to objects
  • Customizable display interface
  • Based on open standards (database, metadata, etc.)
  • Flexible access control list features
  • Standards-based export functions to avoid “lock-in” and promote remote indexing
  • Platform (hardware, operating system) agnostic – server and client
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What’s a “collection?”
  • Arbitrary
    • Collections
    • Compound documents
    • Prescribed SQL results based on metadata
  • Depends on purpose and audience
    • Store and organize
    • Access and share
    • Preserve and archive
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View from 30,000’
  • How does DAM fit into the campus big picture?
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What’s the role for metadata?
  • Critical for digital asset management
  • Useful for
    • Assessment projects?
    • Decision systems?
    • Portals?
    • Breaking down information silos?
  • Links to course content in our datamarts?
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Resources
  • Mellon Foundation “Research in IT” Twiki
  • CONTENTdm
  • ARTstor
  • Luna Imaging
  • Realia Project
  • Federated searches of small college collections


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