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Mondays, Wednesdays, and Fridays from May 4-15, 2026 11:30am-4:30pm Eastern Time (4 hours of instruction with a one-hour break) Overview Join us May 4–15 for the 2026 edition of RDM Jumpstart! This free national workshop, held on Monday, Wednesday and Friday for two weeks, will introduce participants to best practices in both Research Data Management […] |
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Date: May 5 2026 Your students deserve to know about Research Data Management! In this brand-new « train the trainer » session for educators, RDM Services will prepare you to prepare your graduate and undergraduate students for increasing grant and publisher requirements for Data Management Plans and Data Deposit. « Do my students even have data to manage? » […] 
Dates: May 5th 2026 to May 8th 2026 Instructor: Dr. Jennifer Guiliano, Professor of History, Indiana University Max Participants: 15
Dates: May 5th 2026 to May 8th 2026 Instructors:Dr. Andie Silva, Professor of English (York College) and Digital Humanities (CUNY Graduate Center)zelda montes, CUNY Graduate Center This workshop will explore best practices for immersing students in archival, editorial, and analytical practices that privilege agency, self-discovery, and research-driven writing. Using approaches and tools such as TEI, […]
Dates: May 5th 2026 to May 8th 2026 Instructors:Shahira Khair, University of Victoria LibrariesSandra Sawchuck, Mount Saint Vincent Libraries This intensive four-day hands-on workshop is designed for humanities researchers who want to actively apply best practices in research data management in their own research projects. Recognizing the unique and diverse nature of humanities data—from digitized […] |
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Date: May 12 2026 Let us be your body double with this in-person bootcamp! Data Management Plans (DMPs) are both incredibly helpful research tools and increasingly required for grants but it can hard to know how to complete a Data Management Plan if it’s your first time. If you’re in the process of creating a […] |
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Date: May 19 2026 Data deposit and data sharing are increasingly recognized as best practice to support open research, reproducibility, research integrity, collaboration, and more. Disciplines, funders, and journals are increasingly requiring researchers to share or deposit data. But how do you get your dataset ready for sharing? What’s the best repository to share it […] |
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