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Data Management Showcase: Connecting & Strengthening RDM for the LMA

Data Management Showcase: Connecting & Strengthening RDM for the LMA Online

Join the Longwood Medical Area Research Data Management Working Group on December 2nd for a holiday showcase event! The LMA Research Data Management Working Group shares guidance, resources, and solutions, and develops best practices to meet current, and anticipate future, research data management needs of researchers across the LMA.

This informal & engaging session will include an overview of our working group, resources for the community, and a forum to learn more about data management from our members at HMS, HSDM, HSPH, and affiliate hospitals.

Come hear our member's latest data horror stories, or bring your own data management or open science conundrums to share with us!

Showcase Speakers:

  • Julie Goldman, Research Data Services, Countway Library
  • Allan Harris, Manager, Research Computing Applications and Operations, HMS Research Computing
  • Sarah Hauserman, Research Data Management Analyst, HMS Research Computing
  • Meghan Kerr, Longwood Medical Area Records Manager/Archivist, Center for the History of Medicine
  • John Obrycki, Research Operations & BiOS Freezer Core Manager, HSPH Department of Nutrition
  • Jessica Pierce, Research Data Manager, HMS Research Computing
  • Caroline Shamu, Associate Dean for Research Cores and Technology, HMS Office for Research Operations
  • Dan Wainstock, Director of Research Integrity, HMS Office for Academic and Research Integrity
Date:
Thursday, December 2, 2021
Time:
11:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Campus Location:
Harvard Longwood Campus
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Data Management  
Registration has closed.

Register Here

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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