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Join us for Research Data Management (RDM) Week 2023

Tue. Apr. 18, 2023

The Library and Research Office invite you to join us for #RDMWeek2023, May 15-19, for ‘lunch and learn’ sessions on important topics in research data management. These sessions will introduce researchers to information, tools and resources that will help you prepare for RDM funder requirements, and support your day-to-day data management activities. More information and registration links below.

Session #1: An Introduction to Borealis, UWinnipeg’s Research Data Repository

Monday, May 15th: 12:30pm – 1:30pm

Borealis is a multi-disciplinary, secure, Canadian research data repository system of which UWinnipeg is a member. This session will include:

  • A discussion of the purpose and benefits of utilizing Borealis for deposit, publishing, sharing and preservation of your research data;
  • A walkthrough of the data deposit process;
  • An overview of our Deposit Guidelines and Collection Policy.

Presented by: Jaime Orr, Research Data Management Librarian

Register here

Session #2: RDM as a Research Skill: Train Your RAs in RDM

Wednesday, May 17th: 12:30pm – 1:30pm

Research data management is a research skill that can be taught, learned and budgeted for. This session is intended for both researchers as well as current and future Research Assistants and will include:

  • An overview of RDM cost to consider in the research planning stage;
  • An overview of the skills associated with research data management that can be learned and taught;
  • A presentation of UWinnipeg’s RDM Onboarding Checklist for your use.

Presented by: Jaime Orr, Research Data Management Librarian

Register here 

Session #3: Making Your Data FAIR

Friday, May 19th: 12:30pm – 1:30pm

This session will introduce the ‘FAIR Guiding Principles for scientific data management and stewardship’, guidelines for improving the Findability, Accessibility, Interoperability and Reuse of digital assets. This session will include:

  • An overview of the four FAIR guiding principles: Findability, Accessibility, Interoperability and Reuse;
  • An overview of the CARE Principles for Indigenous Data Governance;
  • Case studies from across the disciplines, highlighting the FAIR and CARE Principles in action.

Presented by: Jaime Orr, Research Data Management Librarian

Register here

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