Goal: Provide educational resources and a forum for shared experience in Research Data Management across SUNY System. Will be achieved through a flipped-classroom model, pairing speakers and live discussions with specific MOOC modules for additional self-paced learning.
Intended Audience: Librarians and administrators interested in learning more about research data management. No experience required to participate. Participants with experience in research data, data publishing in shared repositories, institutional repositories, and data services are also welcome to participate and share their knowledge.
Learning Outcomes:
Provide a learning forum and open discussion for research data services in libraries
Understand different research data lifecycle models and where librarians can engage with the research process
Support creation of data management and sharing plans
Plan for launching and managing data services within libraries and across institutions
Identify research data partners on campus
Build scaffolding and advocate for research data management at your institution with appropriate stakeholders
Discover various platform tools within a larger data ecosystem
This training series will complement a future ACRL-led event “Building Your Research Data Management Toolkit: Integrating RDM into Your Liaison Work” (Off-RoadShow Virtual Workshop)
Content: Content from two MOOCs will be used for this series. There is no cost associated with either MOOC but you will need to register to access content required for specific weeks:
Research Data Management Librarian Academy (RDMLA) MOOC on Canvas https://rdmla.github.io/ https://www.canvas.net/browse/simmonsu/courses/research-data-management
Research Data Management and Sharing MOOC on Coursera https://www.coursera.org/learn/data-management
Bonus! Completing the full unit/week (with all assignments) in either MOOC will earn the participant badges within Canvas or Coursera. Certificates are available for completing the full course. There may be costs associated with a certificate charged by the individual platform. More information and details on earning certificates are available on each platform.
Timeline:
All meetings are at 1pm unless otherwise noted. Suggested readings listed at individual event page. Participants can register for the whole series or individual events.
August 22, 2023: Research Data Management Training Series Introduction
September 26, 2023: Introduction to Research Data Management
October 24, 2023: Advocating for RDM on your campus
November 28, 2023: Launching Data Services
December 19, 2023: Writing a DMP and Platform Tools
"Data Immersion" by Idaho National Laboratory is licensed under CC BY 2.0