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Data Management and Sharing Plans: From Requirements to Reality (Online)

Tuesday, November 10, 2026, 12:00pm - 1:00pm
Online, Open to the public, OSRDS, Research Data Services,

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What: This workshop will guide you through the process of not only writing a Data Management and Sharing Plan (DMS Plan), but actively implementing it — turning policy requirements into practical, everyday actions that support the entire research lifecycle.

Why: A strong DMS Plan is only effective if it is put into practice. Let's get you moving beyond compliance and embedding good data management habits into real workflows, to ensure data is well-organized, reproducible, and ready to be shared.

How: This is a free 1 hour hands-on workshop.

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: 

  • Julie Goldman, BS, MLIS, Research Data Services Librarian, Harvard Library
  • Megan Potterbusch, MLIS, Research Data Steward, HKS Library and Research Services

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!