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

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McGill University Library, 3459 rue McTavish, Montreal, QC H3A 0C9, Canada
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Portage, ACENET, 309 Cooper Street, Suite 203, Ottawa, ON K2P 0G5, Canada
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Library and Archives Canada, 395 Wellington Street, Ottawa, ON K1A 0N4, Canada
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Simon Fraser University Library, 515 West Hastings Street, Vancouver, BC V6B 5K3, Canada
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Author to whom correspondence should be addressed.
Publications 2020, 8(2), 25; https://doi.org/10.3390/publications8020025
Received: 14 February 2020 / Revised: 27 March 2020 / Accepted: 27 April 2020 / Published: 2 May 2020
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. View Full-Text
Keywords: discovery; repositories; metadata standardization; OpenRefine; Faceted Application of Subject Terminology discovery; repositories; metadata standardization; OpenRefine; Faceted Application of Subject Terminology
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Turp, C.; Wilson, L.; Pascoe, J.; Garnett, A. The Fast and the FRDR: Improving Metadata for Data Discovery in Canada. Publications 2020, 8, 25.

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