Research Data Management (RDM) Survey of Queen's University's Engineering and Science Departments, 2015

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dc.contributor.authorZaraiskaya, Tatiana
dc.contributor.authorCooper, Alexandra
dc.contributor.authorMoon, Jeff
dc.contributor.authorMurphy, Sharon
dc.contributor.authorSaleh, Nasser
dc.date.accessioned2023-09-01T18:57:48Z
dc.date.available2023-09-01T18:57:48Z
dc.date.issued2016-05
dc.description.abstractIn 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.
dc.identifier.doihttps://hdl.handle.net/10864/11651
dc.identifier.urihttps://hdl.handle.net/1974/31784
dc.language.isoen
dc.publisherQueen's University Library
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleResearch Data Management (RDM) Survey of Queen's University's Engineering and Science Departments, 2015
dc.typeworking paper

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