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Research Management: Research Data Stewardship Basics
This session will present some of the general dos and don’ts on what it means to be a good steward of research data whether it is generated by your research, received from an outside source, or being shared out to others. With the host of new regulations and requirements focused on research data use and security, it can be confusing navigating our responsibilities.
This session will not get into specific regulations but will discuss the basics of working with research data. You are encouraged to bring your questions.
Presenters:
Kim Serpico, Associate Director of IRB Operations, Harvard Longwood Campus Institutional Review Board
Andy Ross, Senior Information Security Manager, Harvard T.H. Chan School of Public Health
Caroline Wood, Associate Director Research Data Compliance, Harvard Medical School
Patrick O’Neill, Director of Research Administration, Harvard T.H. Chan School of Public Health
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Spring 2025 Research Data Management Seminar Series
- January 29 - Data Literacy: Introduction to GIS
- February 27 - Research Management: The Ins & Outs of Making Your Work Open Access at Harvard
- March 19 - Better Research IV: A Guide to Efficient Research Practices
- March 26 - Better Research V: Tips and Tricks for Writing an Actionable Data Management Plan
- April 9 - Research Management: Closing Out Your Research
- April 23 - Better Research VI: Data Sharing with Harvard Dataverse
- May 21 - Research Management: Research Data Stewardship Basics
Seminar Audience
- Seminars are open to all faculty, research staff, postdoctoral researchers, and students from all disciplines.
- In-person workshops are open to Harvard University ID holders only.
- Online webinars are open to the public research community.
- While content will focus on Harvard policies and resources, participants from other institutions may find the concepts useful.
Event Organizer
Need help with data management? Feel free to book a 30 minute meeting slot with me.
Happy to help with data organization, cleaning, and sharing for fostering reproducible workflows and open science!
