Suchergebnisse

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.

The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries' Portage initiative and Compute Canada, improves research data discovery in Canada by providing a single search portal for more than 100,000 metadata records indexed from over 40 Canadian governmental, institutional, and domain-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 working 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 presentation will describe the working group's project, provide a demonstration of preliminary results and examples of how this work improves data discovery, and discuss how this approach may be adopted by other repositories and metadata aggregators to support metadata standardization.