Event box

Countway Library

Oops! (I Did It Again): Issues with Human Subjects Research Data

Wednesday, August 31, 2022, 12:00pm - 12:30pm
Virtual (Zoom)
Open to the public, Workshop,

What happens when something goes wrong with human subjects research data? Is it an IRB or regulatory issue? What corrective actions need to happen, if any? When do I have to notify my participants? 

Expert(s): Kim Serpico, MEd, CIP, Associate Director of IRB Operations, Office of Regulatory Affairs and Research Compliance, Harvard T.H. Chan School of Public Health

Please register below to receive the Zoom webinar instructions.

 

Register Here

 

Add to: Google Calendar Other calendar (.ics)

 

Summer RDM Mini-Workshop: Data Experts Respond to the DMSP

RDM Mini-Workshops are free, open sessions featuring short presentations or demos and provide discussion with the research data community. 

This summer we are helping you prepare for the forthcoming NIH Data Management and Sharing Policy. Join us Wednesdays at 12pm EST throughout the summer to learn about the various aspects of data management that will allow you to comply with the policy successfully. Offices from across the university will provide their expertise and outline their services available to help:

  • Harvard Library
  • Center for the History of Medicine
  • HMS IT Research Computing
  • HMS Office for Postdoctoral Fellows
  • HMS Office of Research Administration
  • HMS Office for Academic and Research Integrity
  • HSPH Office of Regulatory Affairs and Research Compliance
     

Summer RDM Mini-Workshop Dates:

Wednesday, June 15, 2022
Wednesday, June 22, 2022
Wednesday, June 29, 2022
Wednesday, July 13, 2022
Wednesday, July 20, 2022
Wednesday, July 27, 2022
Wednesday, August 10, 2022
Wednesday, August 17, 2022
Wednesday, August 24, 2022
Wednesday, August 31, 2022

Please register for each session for the zoom link.

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!