RDM Brown Bag Information Series: Session 1 - Research Data Management and You

Date

Wednesday November 2, 2022
12:00 pm - 1:00 pm

Location

In-person and Virtual

The Queen’s Data Champions (qDC) hosted the first session of our RDM Brown Bag Information Series to learn about research data management, including what it is, why it is important, and how it might impact you. You will also learn about the three pillars of the Tri-Agency RDM Policy and how the second and third pillars (data management plans and data deposits, respectively) may impact your grant applications and/or research projects in 2023. The qDC will also introduce you to the Queen’s University Institutional RDM Strategy and how you can provide feedback on the strategy.

Video (  Queen's NetID required): 

The transcript and closed captioning of this video were auto-generated. We apologize in advance for any errors in the transcription.

Session Material:

 


About Queen’s Data Champions

The Queen’s Data Champions (qDC) is one of eighteen groups across Canada to receive funding from the Digital Research Alliance of Canada as part of the Data Champions Pilot Project. The project aims to encourage a shift in research data culture by promoting sound research data management (RDM) practices. The qDC includes five experts from across the university, working together to create and develop RDM learning resources for the Queen’s research community. The qDC includes Alicia Cappello, Research Data Librarian, Queen’s University Library; Elise Degen, Communications & Relations, Centre for Advanced Computing; Matt Clapp, Manager of Data Platform Services, Information Technology Services; Meghan Goodchild, Research Data Management System Librarian, Queen’s University Library / Scholars Portal; and Rebecca Pero, Information & Project Coordinator, Vice-Principal Research Portfolio.

Help:

Questions? Email Andrea Hiltz  ahiltz@queensu.ca
 

Learn more about the Resources for Research at Queen’s series

More Queen's Data Champions events

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Queen's Data Champions are supported in part by funding from the Digital Research Alliance of Canada.