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Overview of content related to 'dublin core metadata initiative'

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This page provides an overview of 1 article related to 'learning object metadata'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to aid discoverability, and to facilitate their interoperability, usually in the context of online learning management systems (LMS). (Excerpt from Wikipedia article: Learning Object Metadata)

Key statistics

Metadata related to 'learning object metadata' (as derived from all content tagged with this term):

  • Number of articles referring to 'learning object metadata': 13 (0.7% of published articles)
  • Total references to 'learning object metadata' across all Ariadne articles: 30
  • Average number of references to 'learning object metadata' per Ariadne article: 2.31
  • Earliest Ariadne article referring to 'learning object metadata': 1999-06
  • Trending factor of 'learning object metadata': 0 (see FAQs on monitoring of trends)

See our 'learning object metadata' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'learning object metadata' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'learning object metadata':

  1. jean godby (see articles on this topic by this author)
  2. sarah currier (see articles on this topic by this author)
  3. pete johnston (see articles on this topic by this author)
  4. charles oppenheim (see articles on this topic by this author)
  5. phil barker (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Titlesort icon Article summary Date

Application Profiles: Mixing and Matching Metadata Schemas

Rachel Heery and Manjula Patel introduce a means of establishing a common approach to sharing information between implementers and standards makers.

September 2000, issue25, feature article

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by Dr. Radut