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Data Discussions: Let's Write a DMS Plan Online

What: The "Data Discussions: Let’s Talk Data!" lunch-time 30 minute webinars are your quick and easy way to learn key data management practices. This session focuses on data management and sharing plans.

Why: A strong data management and sharing plan demonstrates that you have a clear strategy for organizing, storing, and sharing your research data — and knowing what funders and reviewers expect can make all the difference.

How: This is a free 30 minute webinar, consisting of a short lecture and discussion. 

Where: Online via Zoom (link provided upon registration)

Who: This discussion is open to all. You may want to review previous "Let's Talk Data!" topics. 

InstructorJulie Goldman, BS, MLIS, Research Data Services Librarian, Countway Library

Come learn, ask questions, and discuss this data topic with experts and colleagues.

Date:
Wednesday, June 17, 2026
Time:
12:00pm - 12:30pm
Time Zone:
Eastern Time - US & Canada (change)
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Classes     Data Management > RDM Data Discussion     Records Management  

Registration is required. There are 35 seats available.

 

Summer Data Discussions: Let’s Talk Data Series

  • June 17 - Let's Write a DMS Plan
  • July 15 - Let's Write a NIH DMS Plan
  • August 19 - Let's Write a NSF DMS Plan

Webinar Audience

  • Lunch time webinars are free and open to all faculty, research staff, postdoctoral researchers, and students from all disciplines.
  • While content will focus on Harvard policies and resources, participants from other institutions may find the concepts useful.

Webinar Accessibility

  • Harvard Library is committed to making our workshops accessible to everyone.
  • If you require an accommodation to fully participate in the discussion, 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!

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