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The Fast and the FRDR: Improving Metadata for Data Discovery in Canada

Author

Listed:
  • Clara Turp

    (McGill University Library, 3459 rue McTavish, Montreal, QC H3A 0C9, Canada)

  • Lee Wilson

    (Portage, ACENET, 309 Cooper Street, Suite 203, Ottawa, ON K2P 0G5, Canada)

  • Julienne Pascoe

    (Library and Archives Canada, 395 Wellington Street, Ottawa, ON K1A 0N4, Canada)

  • Alex Garnett

    (Simon Fraser University Library, 515 West Hastings Street, Vancouver, BC V6B 5K3, Canada)

Abstract

The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries’ Portage initiative and the Compute Canada Federation, improves research data discovery in Canada by providing a single search portal for research data stored across Canadian governmental, institutional, and discipline-specific data repositories. While this national discovery layer helps to de-silo Canadian research data, challenges in data discovery remain due to a lack of standardized metadata practices across repositories. In recognition of this challenge, a Portage task group, drawn from a national network of experts, has engaged in a project to map subject keywords to the Online Computer Library Center’s (OCLC) Faceted Application of Subject Terminology (FAST) using the open source OpenRefine software. This paper will describe the task group’s project, discuss the various approaches undertaken by the group, and explore how this work improves data discovery and may be adopted by other repositories and metadata aggregators to support metadata standardization.

Suggested Citation

  • Clara Turp & Lee Wilson & Julienne Pascoe & Alex Garnett, 2020. "The Fast and the FRDR: Improving Metadata for Data Discovery in Canada," Publications, MDPI, vol. 8(2), pages 1-9, May.
    • Handle: RePEc:gam:jpubli:v:8:y:2020:i:2:p:25-:d:353480
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    References listed on IDEAS

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    1. Rachel Smart, 2019. "What Is an Institutional Repository to Do? Implementing Open Access Harvesting Workflows," Publications, MDPI, vol. 7(2), pages 1-10, May.
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