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Research Data Sharing: Principles, Practices, and Platforms (Online)

Wednesday, December 2, 2026, 12:00pm - 1:00pm
Online, Open to the public, OSRDS, Research Data Services,

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What: This workshop introduces the principles of responsible research data sharing, the practices recommended for preparing and publishing your data, and the platforms — including subject, institutional, and generalist repositories — available to help you share your research data effectively.

Why: Publishing research data in a trusted repository ensures compliance with funder and journal data sharing policies, while supporting the discovery and accessibility of FAIR (Findable, Accessible, Interoperable, and Reusable) data, ultimately increasing the visibility, impact, and credibility of your research.

How: This is a free 1 hour hands-on workshop. The webinar recording will be shared with all who register.

Where: Online via Zoom (link provided upon registration).

Who: This seminar is open to all Harvard affiliates from all disciplines, and the public research community. 

Instructors: Katie Mika, MA, MLIS, Data Services Librarian, Harvard Library

Join your peers to meet new people and learn new skills in a welcoming and encouraging environment!

Registration is required.

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Fall 2026 Research Data Management Seminar Series

Seminar Audience

  • Seminars are free and 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.

Seminar Accessibility

  • Harvard Library is committed to making our workshops accessible to everyone.
  • If you require an accommodation to fully participate in the workshop, please contact Julie Goldman to discuss options.

Event Organizer

Profile photo of Julie Goldman
Julie Goldman

 

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!