The Fast and the FRDR: Improving Metadata for Data Discovery in Canada
| Autor: | Alex Garnett, Lee Wilson, Julienne Pascoe, Clara Turp |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Standardization
business.industry Computer science Communication 05 social sciences Data discovery Subject (documents) Library and Information Sciences 050905 science studies Computer Science Applications Terminology Metadata World Wide Web Software Work (electrical) General partnership Media Technology 0509 other social sciences Business and International Management 050904 information & library sciences business |
| Zdroj: | Publications. 8:25 |
| ISSN: | 2304-6775 |
| DOI: | 10.3390/publications8020025 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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