Research Data Management Surveys at Queen's University

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This collection contains reports of RDM surveys conducted by Queen's University Library between 2015 and 2017, in additional to a summary of highlights of the survey project, which was a collaborative of the Canadian RDM Survey consortium. The surveys were designed to explore how researchers manage and share data, differences in RDM practices and needs across disciplines, and the help that researchers want to support this process. Link to the collection in Borealis

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    Research Data Management (RDM) Survey of Queen's University's Engineering and Science Departments, 2015
    (Queen's University Library, 2016-05) Zaraiskaya, Tatiana; Cooper, Alexandra; Moon, Jeff; Murphy, Sharon; Saleh, Nasser
    In order to become better prepared to support Research Data Management (RDM) practices in sciences and engineering, Queen’s University Library, together with the University Research Services, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows and graduate students at the Faculty of Engineering & Applied Science, Departments of Chemistry, Computer Science, Geological Sciences and Geological Engineering, Mathematics and Statistics, Physics, Engineering Physics & Astronomy, School of Environmental Studies, and Geography & Planning in the Faculty of Arts and Science.
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    Research Data Management (RDM) Survey of Queen's University's Humanities, Social Sciences, Business, Education, Law, and Policy Studies Departments, 2016
    (Queen's University Library, 2017-04) Zaraiskaya, Tatiana; Berish, Francine; Cooper, Alexandra; Druery, Jackie; Heil, Jeremy; Moon, Jeff
    In order to become better prepared to support Research Data Management (RDM) practices in social sciences, humanities, policy studies, business, law, and education, Queen’s University Library, together with the University Research Services, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows and graduate students in the Faculty of Education, Faculty of Law, Smith School of Business, School of Policy Studies, as well as the following programs at the Faculty of Arts and Science: Creative Arts, Humanities, Languages, Life & Physical Sciences, and Social Sciences.
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    Research Data Management (RDM) Survey of Queen's University's Faculty of Health Sciences, 2017
    (Queen's University Library, 2017-12) Berish, Francine; Cooper, Alexandra; Heil, Jeremy; Maranda, Suzanne; Moon, Jeff; Zaraiskaya, Tatiana
    In order to become better prepared to support Research Data Management (RDM) practices in health sciences, Queen’s University Library, together with the University Research Services, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows, medical residents, and graduate students in the Faculty of Health Sciences.
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    Queen’s University Research Data Management Survey, 2022
    (Queen's University Library, 2022) Donald, Betsy; Cappello, Alicia; Cooper, Alexandra; Goodchild, Meghan; Pero, Rebecca
    The Queen’s University Research Data Management Survey (2022) was conducted by Queen's University Library and the Vice-Principal Research Portfolio in order to benchmark the current level of knowledge of the Tri-Agency RDM Policy within the Queen’s research community and the current level of readiness of the research community to implement the RDM policy requirements.
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    Research Data Management Survey of Queen's University, 2018
    (Queen's University Library, 2018-03) Berish, Francine; Cooper, Alexandra; Druery, Jackie; Heil, Jeremy; Moon, Jeff; Maranda, Suzanne; Murphy, Sharon; Saleh, Nasser; Zaraiskaya, Tatiana
    Between 2015 and 2017, three Research Data Management (RDM) surveys were conducted by Queen’s University Library in collaboration with University Research Services. Each survey focused on a different set of disciplines: Engineering and Science (November 24-December 31, 2015); Social Science, Humanities, Business, Education, Law, and Policy Studies (SSHBELPS) (June-July18, 2016); and Health Sciences (January 26-February21, 2017). The surveys were a collaborative project of members of the Canadian RDM Survey Consortium and were designed to explore how researchers manage and share data, differences in RDM practices and needs across disciplines, and the help that researchers want to support this process.