文章基本信息

标题：The Fast and the FRDR: Improving Metadata for Data Discovery in Canada
本地全文：下载
作者：Clara Turp ; Lee Wilson ; Julienne Pascoe 等
期刊名称：Publications
电子版ISSN：2304-6775
出版年度：2020
卷号：8
期号：2
页码：25-33
DOI：10.3390/publications8020025
出版社：MDPI Publishing
摘要：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.
关键词：discovery; repositories; metadata standardization; OpenRefine; Faceted Application of Subject Terminology discovery ; repositories ; metadata standardization ; OpenRefine ; Faceted Application of Subject Terminology