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.
For more information, or to inquire about becoming a member, please see the Terms of Reference and/or complete the Expression of Interest Form.
- Kevin Read, University of Saskatchewan (Co-Chair)
- Clara Turp, McGill University (Co-Chair)
- Eugene Barsky, University of British Columbia
- Cyndie Found, National Research Council Canada
- Laura Gerlitz, Digital Research Alliance of Canada
- Mark Goodwin, Digital Research Alliance of Canada
- Amber Leahey, Scholars Portal
- Dany Savard, University of Toronto
- Chantelle Verhey, Ocean Networks Canada
- Peter Webster, Saint Mary’s University
- Lee Wilson, Digital Research Alliance of Canada
Active Working Groups (WGs)
Access Limited Data Discovery Working Group (Terms of Reference): 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 (Terms of Reference): The Canadian Data Repositories Landscape Working Group seeks to survey the Canadian data repository landscape. The goals of this project are to develop a sustainable method for tracking Canadian data repositories; identify established, emerging and dormant data repositories for monitoring; describe identified repositories according to a standard set of criteria (e.g., domain, platform); promote Canadian data repositories through established registries (re3data, FAIRsharing); and to evaluate gaps in the Canadian data repository landscape.
FRDR Discovery Redesign Working Group (Terms of Reference): 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; expand the capabilities of FRDR’s search; build a foundation upon which FRDR can better leverage persistent identifiers and controlled vocabularies; and to respond to diverse community needs for discovery of Canadian research data. The FRDR Discovery Redesign Working Group supports the redesign of the Discovery Service, ensuring that the project is community-driven and incorporates usability best practices.