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Discovery and Metadata Expert Group

For research data to be effectively shared and re-used, researchers must first be able to find, access, and interpret those data.  The main purpose of the Discovery and Metadata Expert Group (DMEG) is to support data creators, curators, and other professionals in planning, producing, managing, and disseminating descriptive metadata to enable the effective discovery and reuse of research data across a wide range of disciplines. Through national and international consultation and collaboration, the group promotes standards for metadata and data that support discoverability by both humans and machines.

The DMEG works closely with the Federated Research Data Repository (FRDR) team to facilitate the effective discovery of and appropriate access to Canadian research data by scholars and general audiences around the world. This includes setting up appropriate alerting services, evaluating standards for metadata quality, and connecting data to other scholarly resources and outputs available on the web using authoritative sources.

Other current areas of interest include improving geospatial discovery of Canadian research data, investigating how to improve the discovery and indexing of licensed and restricted access data, crosswalking metadata from a wide array of data sources, and identifying data producers and systems both within and outside of academia.

Terms of Reference for the Discovery and Metadata Expert Group

To become a member, please complete the Portage Expression of Interest Form.

Access Limited Data Discovery Working Group

The Access Limited Data Discovery Working Group works to scope the landscape of Canadian access-limited data locations, platforms and/or tools; identify the challenges associated with increasing the discovery of access-limited data; and make recommendations for improving the discovery of access-limited data based on challenges identified.

Access-Limited Data is data that is not immediately accessible or for which access or discovery is limited. Such data includes data that can be made available under certain conditions, and data that lacks the appropriate infrastructure to be accessible or discoverable more broadly. Examples include but are not limited to licensed, restricted, human health, or embargoed data.

Canadian Data Repositories Landscape Working Group

FRDR Discovery Redesign Working Group

The FRDR Discovery Redesign project seeks to overhaul the existing FRDR interface to meet evolving user needs. The goals of this project are to:

  • integrate the existing FRDR Discovery Service platform with the Geodisy project for a seamless experience that combines text- and map-based search;
  • expand search capabilities in FRDR through mechanisms including filters and advanced search;
  • build a foundation for FRDR to better leverage persistent identifiers (PIDs) and controlled vocabularies including ORCID, ROR, and FAST; and
  • respond to diverse community needs for discovery of Canadian research data.

The FRDR Discovery Redesign Working Group will support the redesign of the Discovery Service, ensuring that the project is community-driven and incorporates usability best practices.

FAST & The FRDR Working Group

The FAST & the FRDR Working Group is undertaking a project to map harvested subject keywords to the Online Computer Library Center’s (OCLC) Faceted Application of Subject Terminology (FAST) controlled vocabulary. By using the open source OpenRefine software to reconcile FRDR’s harvested keywords, the project aims to address the lack of standardized metadata practices across repositories and improve discovery by enhancing FRDR’s subject facet with the FAST controlled vocabulary.

DMEG Publications

  • Metadata for Discovery : Disciplinary Standards and Crosswalk Progress Report. Metadata Working Group. September 2017 PDF
  • Collections Development Working Group : Phase One Report. Collections Development Working Group. August 2017 PDF
  • Research Data Discovery and the Scholarly Ecosystem in Canada. July 2016 PDF