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DIGITAL ARCHIVES Into the Light
Gabrielle V. Michalek, Head Digital Library Initiatives Carnegie Mellon University
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A Sound Digital Archives
Accessibility Interoperability Sustainability Preservation Gabrielle V. Michalek, Carnegie Mellon University
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Carnegie Mellon’s Digital Collections
Senator Heinz - 850,000 images Herbert Simon - 153,000 images Allen Newell - 145,000 images Over 1 Million Images Online Gabrielle V. Michalek, Carnegie Mellon University
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Other CMU Digital Projects
SmartWeb Exhibit Million Book Project Universal Library Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
History 1992 Began work on Senator Heinz Papers 1995 Developed Helios System to digitize, create metadata, OCR, and provide access to collection 1999 Applied technology to Simon and Newell Collections 2000 Migrated to DIVA Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
DIVA Digital Information Versatile Archive Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
DIVA New platform Oracle based Takes in any XML File Supports heterogeneous collections Full text or fielded searching Browsing and sorting Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
Use of Standards Metadata Creation – EAD, Dublin Core, etc Imaging – 600 DPI, 8 Bit Greyscale, 24 Bit Color OCR – ASCII Text Data Structure – Metadata Encoding and Transmission Standard (METS) Gabrielle V. Michalek, Carnegie Mellon University
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What is it and why is it important?
Metadata What is it and why is it important?
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Gabrielle V. Michalek, Carnegie Mellon University
Descriptive Metadata Data that describes the digital object such as a bibliographic record or finding aid, i.e. MARC record Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
Structural Metadata Represents the relationship between multiparts objects, i.e. chapters of a book Gabrielle V. Michalek, Carnegie Mellon University
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Administrative Metadata
“Data that supports the unique identification, maintenance, and archiving of digital objects, as well as related functions of the organization managing the repository”, i.e.who created this object, which software, version was used, etc. Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
What We Are Using Archival Collections - Encoded Archival Description (EAD) Books, Journals, Photographs, etc. – Dublin Core Metadata Encoding and Transmission Standard - METS Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
METS Incorporates descriptive, structural, and administrative metadata Allows you to bind heterogeneous collections together and show relationships between information Becomes a wrapper for the collection XML DTD Gabrielle V. Michalek, Carnegie Mellon University
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Gabrielle V. Michalek, Carnegie Mellon University
Goals Accessibility Interoperability Sustainability Preservation Gabrielle V. Michalek, Carnegie Mellon University
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Thank You
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