Research Data Management and the Canadian Academic Library: An Organizational Consideration of Data Management and Data Stewardship. Steeleworthy, M. Partnership: The Canadian Journal of Library and Information Practice and Research, 2014.
Research Data Management and the Canadian Academic Library: An Organizational Consideration of Data Management and Data Stewardship [link]Paper  abstract   bibtex   
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. This paper examines research data management as a vital information, technical, and policy service in academic libraries today. It situates RDM not only as actions and services but also as a suite of responsibilities that require a high level of planning, collaboration, and judgment, thereby binding people to practice. It shows how RDM aligns with the skill sets and competencies of librarianship and illustrates how RDM spans the library's organizational structure and intersects with campus stakeholders allied in the research enterprise. Adapted from the source document.
@article{steeleworthy_research_2014,
	title = {Research {Data} {Management} and the {Canadian} {Academic} {Library}: {An} {Organizational} {Consideration} of {Data} {Management} and {Data} {Stewardship}},
	volume = {9},
	issn = {1911-9593, 1911-9593},
	url = {https://search.proquest.com/docview/1700661330?accountid=12543},
	abstract = {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. This paper examines research data management as a vital information, technical, and policy service in academic libraries today. It situates RDM not only as actions and services but also as a suite of responsibilities that require a high level of planning, collaboration, and judgment, thereby binding people to practice. It shows how RDM aligns with the skill sets and competencies of librarianship and illustrates how RDM spans the library's organizational structure and intersects with campus stakeholders allied in the research enterprise. Adapted from the source document.},
	language = {English},
	number = {1},
	journal = {Partnership: The Canadian Journal of Library and Information Practice and Research},
	author = {Steeleworthy, Michael},
	year = {2014},
	keywords = {10.01: ELECTRONIC PUBLICATION, Academic libraries, Data collection, Data exchange, Professional responsibilities, Scholarly communication, article, big data, library administration, library organization, research, research data management, research grants - government policy}
}

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