Research Data Management in the Canadian Context

dc.contributor.authorCarlisle-Johnston, Emily
dc.contributor.authorDennie, Danielle
dc.contributor.authorFortin, Émilie
dc.contributor.authorHill, Elizabeth
dc.contributor.authorThompson, Kristi
dc.date.accessioned2025-07-01T08:47:23Z
dc.date.available2025-07-01T08:47:23Z
dc.date.issued2023
dc.description425 p.
dc.description.abstractResearch Data Management is a term for all the things that researchers do to structure, organize and maintain data before, during and after doing research. RDM is also an emerging discipline that is concerned with researching and developing ways to manage research data more effectively. But what is research data? Where is the push towards formal Research Data Management coming from? What are the requirements of good data management? Research Data Management in the Canadian Context: A Guide for Practitioners and Learners looks at these questions and more, all with a focus on Canadian guidelines, regulations and infrastructure.
dc.identifier.isbn9780771431876
dc.identifier.urihttps://oerrepository.ntt.edu.vn/handle/298300331/782
dc.language.isoen
dc.publisherWestern University
dc.subjectResearch Data
dc.subjectData Management
dc.subjectCanadian Context
dc.titleResearch Data Management in the Canadian Context
dc.typeBook
dcterms.licenseCreative Commons Attribution-NonCommercial 4.0 International
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