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Fedora Content Models for the National Science Digital Library Data Repository

This presentation from the NSDL User Group Meeting in Copenhagen details efforts to improve STEM education by leveraging digital libraries. The National Science Digital Library (NSDL), initiated in 1999, supports a multitude of projects focused on educational resources in science, technology, engineering, and mathematics. Core integration through institutions like Cornell and Columbia aims to enhance technical infrastructure. Key topics include metadata management, object relationships, and the advanced functionalities of the Fedora-based NDR system, showcasing its potential for optimizing resource sharing and educational outcomes.

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Fedora Content Models for the National Science Digital Library Data Repository

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  1. Fedora Content Models for the National Science Digital Library Data Repository Fedora User’s Group Meeting Copenhagen, September 28, 2005 Carl Lagoze Cornell Information Science

  2. NSDL Context

  3. A bit of NSDL background • Mission: “Improve Science, Math, Engineering education through digital libraries” • Original NSDL solicitation in 1999 • Over 180 projects funded • Core integration (Columbia, Cornell, UCAR) charged with providing organizational, technical infrastructure • CI (Cornell) funding through 2006 • http://www.nsdl.org

  4. STEM Resource Information in Context …how has it been aggregated …who used it …how is it described & rated …how is it classified …how was it used …how does it related to standards …what has it been used with

  5. Information Network Overlay

  6. NSDL Data Repository (NDR) • Fedora-based implementation of information network overlay • Content model to represent NSDL information entities and relationships • Extensive use of resource index and new oai service

  7. Fedora NDR • Objects: agents, metadata items, resources, services (metadata providers), aggregations • Relationships: metadataFor, providedBy, memberOf, representedBy + ontology-specific • Disseminations: metadata transformations • OAI harvesting: both static and generated metadata formats • Authentication/Authorization: Collections and services manage their own repository content, contribution of annotations, new content

  8. Live Demo • http://fedora.nsdlib.org:8380/repository/bigBang.htm

  9. Metadata in the NDR • Multiple formats • static (ingested from provider) • generated/crosswalked • Multi-sourced • de-dupped • Retain branding of metadata • OAI-PMH harvesting

  10. Resources, Metadata, Metadata Providers

  11. Metadata Content Model

  12. proai – Fedora 2.1 OAI Service • Old OAI service – harvest only system DC • Support for arbitrary metadata formats • static data streams and disseminator generated • exploits queries to resource index • proai.properties configuration

  13. proai configuration

  14. Collections and Aggregations • Set basis • Semantic basis • Agent associated

  15. Aggregation Model

  16. Annotation/Reviews • Unstructured metadata about a resource • Exists as resource and annotation • Separate agent provenance from annotated resource

  17. Annotation Model

  18. The SDSC Archive • Uses Storage Resource Broker (SRB) • Monthly snapshots of crawlable content • Identifies resource as collection of related web pages • Can’t access protected content, robots.txt blocked, etc. – no requirement for NSDL projects to participate • REST interface for read access (but not submission – yet)

  19. Integrating SDSC Archive into NDR

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