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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.accessioned2016-06-10T13:30:15Z
dc.date.available2016-06-10T13:30:15Z
dc.date.issued2016-06-10
dc.identifier.urihttp://hdl.handle.net/1974/14550
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.en_US
dc.language.isoenen_US
dc.subjectData Storageen_US
dc.subjectResearch data management (RDM)en_US
dc.subjectBig dataen_US
dc.subjectProgram scripten_US
dc.subjectData sharingen_US
dc.titleDocumentationen_US


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