Research data management (RDM) has become a professional imperative for Canada’s academic librarians. Recent policy considerations by our national research funding agencies that address the ability of Canadian universities to effectively manage the massive amounts of research data they now create has helped library and university administrators recognize this gap in the research enterprise and identify RDM as a solution. RDM is not new to libraries, though. Rather, it draws on existing and evolving organizational functions in order to improve data collection, access, use, and preservation. A successful research data management service requires the skills and knowledge found in a library’s research liaisons, collections experts, policy analysts, IT experts, archivists and preservationists. Like the library, research data management is not singular but multi-faceted. It requires collaboration, technology and policy analysis skills, and project management acumen.
CITATION STYLE
Steeleworthy, M. (2014). Research Data Management and the Canadian Academic Library: An Organizational Consideration of Data Management and Data Stewardship. Partnership: The Canadian Journal of Library and Information Practice and Research, 9(1). https://doi.org/10.21083/partnership.v9i1.2990
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