Research Data: Canada’s Portage Network Releases Report on Metadata Standards for Research Data Discovery
From The Portage Network:
The Metadata Working Group of the Portage Data Discovery Expert Group has released a report about discovery standards for research data in repositories. The report includes an overview of the discovery metadata profile for the Federated Research Data Repository (FRDR) and a crosswalk covering major disciplinary research data standards.
The purpose of the Portage Data Discovery Expert Group is to support research data creators and curators in planning, producing, and managing descriptive metadata for effective discovery and reuse. The group facilitates discussions about data discovery in Canada and promotes the use of metadata standards for research data that support both machine-to-machine and human-to-machine discovery activities. The Metadata Working Group works to define the scope of metadata standards for discovery and to provide recommendations for managing and harvesting metadata from data repositories, with the goal of increased discovery of Canadian research data.
Portage is a national research data management initiative to assist researchers and other research data management stakeholders through a library-based network of expertise on RDM and national platforms for planning, preserving, and discovering research data. Portage is managed by the Canadian Association of Research Libraries (CARL).
Direct to Full Text Report
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.