Proposed Metadata Standards Catalogue Working Group (MSCWG) for Enhancing Metadata Interoperability

Proposed Metadata Standards Catalogue Working Group (MSCWG) for Enhancing Metadata Interoperability
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Develop a Metadata Standards Catalogue for adding, searching, and retrieving records via API. Recommend standards for different purposes, define elements, and enable machine-readable representations. The vision includes a portal with end-user interface and API, facilitating metadata standards cataloging for machine and human readability, conversion between formats, and efficient search and retrieval. Positioned in the context of RDA, emphasizing interoperability through metadata to enhance dataset sharing and access.

  • Metadata Standards
  • Catalogue
  • API
  • Interoperability
  • RDA

Uploaded on Mar 06, 2025 | 0 Views


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  1. After MSDWG 1 Proposed Metadata Standards Catalogue Working Group (MSCWG) Develop the Metadata Standards Directory into a Metadata Standards Catalogue Allow records to be added, searched and retrieved by API. Provide representations of records in machine- understandable form. Develop, with community, recommendations of which standard(s) should be used for which purpose. Provide information on elements defined by each standard, and the purpose they serve.

  2. http://bit.ly/1LJvWiC 2

  3. The Vision 3 To have a portal With end-user interface And API To a catalog of metadata standards Machine actionable as well as human readable All characterised in one metadata format able to convert to / from many existing metadata formats For search/retrieval to find appropriate standards And use them in data collection, validation, search, interoperability

  4. MSCWG In Context: Metadata Groups Position in RDA 4 A major goal of RDA is sharing of research datasets. interoperability is required using computer systems to discover, contextualise, select, access, transmit or process datasets. Interoperability a user accessing the world through a local / institutional / national portal sees not only local datasets and software but also all relevant datasets and software as if they were local. Achieved through metadata Characterising the objects (datasets, software, users, computing resources) techniques to match and map those descriptions generation of convertors for the underlying data instances. Interoperation among many metadata models preserves the richness of the original schemes uses techniques to establish relationships between attributes in the different schemes (matching and mapping).

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