In March, University Libraries’ Data Services Group is offering several special events for Mason graduate students, faculty and staff. All events are scheduled on the Fairfax campus; registration is required, and attendees should bring their own laptop to the sessions.
George Mason graduate students, faculty, administrators, and staff interested in learning more about data management issues, best practices and tools are invited to participate in a Data Management Bootcamp sponsored by seven Virginia institutions, March 9 & 10, 2016. This free, collaborative event will feature experts from across the state and will provide opportunities for local, hands-on practical experience. Presenters will be from remote and local locations. The Bootcamp will take place on the Fairfax campus. Registration is limited to current George Mason University students, staff and faculty.
- March 9 / Day One / 9:00 a.m. – 4:15 p.m. Topics will include: Data Organization, Data Documentation, Rights and Access, Copyright, Finding and Reusing Data, and Sharing Data. These are all basic, foundational concepts for working with research data. Day One is designed for full-day participation.
- Registration is required
- Register: Working with Research Data (Full Day)
- March 10 / Day Two / 9:00 a.m. – 12:15 p.m. Select a workshop! Please bring your own laptop, and attend one, two, or all three workshops.
- 9:00 a.m.-10:00 a.m. Register: Cleaning Data with Open Refine
- 10:15 a.m. – 11:15 a.m. Register: R from Scratch
- 11:30 a.m. – 12:15 p.m. Register: Creating Data Management Plans with the DMPTool
The Data Management Bootcamp is a collaborative initiative of the College of William & Mary, George Mason University, James Madison University, Old Dominion University, University of Virginia, Virginia Commonwealth University, and Virginia Tech.
Learn easy, practical steps researchers can take to increase the reproducibility of their work. Using example studies, attendees will actively participate in creating a reproducible project from start to finish. This workshop is aimed at faculty, staff, and students across disciplines, who are engaged in quantitative research. The workshop does not require any specialized knowledge of programming. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows. This workshop is hands-on; attendees should bring their own laptops. Speaker April Clyburne-Sherin, MSc will cover these topics: Project Documentation; Version Control; Pre-analysis Plans, and Open Source Tools such as the Center for Open Science’s Open Science Framework to easily implement these concepts in a scientific workflow. Registration Required: RSVP Here
For more information about any of these upcoming events, please contact Wendy Mann, Head, Data Services, email@example.com
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