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Across Canada, across disciplines : Research data management practices and needs in the social sciences and humanities Trimble, Leanne; Dearborn, Dylanne; Zaraiskaya, Tatiana; Burpee, Jane; Barsky, Eugene; Sahadath, Catie; Cheung, Melissa; Mitchell, Marjorie; Gertler, Matthew
Abstract
Across Canada, ten universities (to date) have worked together to survey their research communities in order to better understand research data management practices and needs. This work builds on a previous collaborative effort designed to delve into RDM habits of researchers in engineering and science, by expanding to researchers in the humanities and social sciences. This session will discuss the survey results from participating universities, providing insight into the Canadian RDM landscape while highlighting disciplinary differences and notable results. Survey sections include working with research data, data sharing, funding mandates and research data management services. Information generated by this survey will help inform Canadian institutional services, infrastructure and policies. Participating universities at the time of writing include: Dalhousie University, McGill University, Queen’s University, Ryerson University, University of Alberta, University of British Columbia, University of Ottawa, University of Toronto, University of Waterloo, and the University of Windsor. The session will also discuss the collaboration process, which resulted in the development of a clearinghouse of generic survey documents (questionnaires, ethics review documents) that will be housed by Portage, Canada’s emerging national RDM infrastructure project. These documents can be used by other institutions to conduct similar studies. Future initiatives include a further survey of researchers in the health and medical sciences.
Item Metadata
| Title |
Across Canada, across disciplines : Research data management practices and needs in the social sciences and humanities
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| Creator | |
| Publisher |
International Association for Social Science Information Services and Technology (IASSIST)
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| Date Issued |
2017-05
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| Description |
Across Canada, ten universities (to date) have worked together to survey their research communities in order to better understand research data management practices and needs. This work builds on a previous collaborative effort designed to delve into RDM habits of researchers in engineering and science, by expanding to researchers in the humanities and social sciences. This session will discuss the survey results from participating universities, providing insight into the Canadian RDM landscape while highlighting disciplinary differences and notable results. Survey sections include working with research data, data sharing, funding mandates and research data management services. Information generated by this survey will help inform Canadian institutional services, infrastructure and policies. Participating universities at the time of writing include: Dalhousie University, McGill University, Queen’s University, Ryerson University, University of Alberta, University of British Columbia, University of Ottawa, University of Toronto, University of Waterloo, and the University of Windsor. The session will also discuss the collaboration process, which resulted in the development of a clearinghouse of generic survey documents (questionnaires, ethics review documents) that will be housed by Portage, Canada’s emerging national RDM infrastructure project. These documents can be used by other institutions to conduct similar studies. Future initiatives include a further survey of researchers in the health and medical sciences.
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| Type | |
| Language |
eng
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| Date Available |
2017-06-02
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution-NonCommercial-ShareAlike 4.0 International
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| DOI |
10.14288/1.0348075
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| URI | |
| Affiliation | |
| Peer Review Status |
Reviewed
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| Scholarly Level |
Faculty
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| Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-ShareAlike 4.0 International