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Research Data Management (RDM) is the process applied throughout the lifecycle of your research project that guides the collection, documentation, storage, sharing, preservation and reuse of your data. RDM is now recognized as a required practice for researchers funded by the Tri-Agency under the newly released Tri-Agency Research Data Management Policy. Tools like the Portage’s Data Management Planning Assistant and Scholar’s Portal Dataverse will help implement RDM best practices into your research and meet the RDM policy requirements. In this webinar we will be covering the services and supports Queen’s University Library provides for your RDM needs. Two faculty researchers from Civil Engineering will join to discuss their experiences working with the Library to deposit their data into ³ÉÈË´óƬ Dataverse and to implement RDM best practices.

Topics covered in this session include:

• Research Data Management
• Tri-Agency's Research Data Management Policy
• Data Management Plans
• Deposit into a Data Repository

Presented by:

William Roy

Open Scholarship Services Librarian, Queen’s University Library
 

Andy Take

Professor, Department of Civil Engineering
 

Ryan Mulligan

Associate Professor, Department of Civil Engineering