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Open Scholarship: Open Access, Open Science, Open Data

Open Scholarship: Open Access, Open Science, Open Data Online

Happy Love Data Week 2023 "Data: Agent of Change"

Open Scholarship advocates for research to be transparent and openly available to all. In this workshop, we’ll give an overview of the Open Science movement and the general principles including access to publications and the underlying research process, FAIR data, and initiatives within scholarly communications that support “openness” of the research endeavor (preprints, registered reports, persistent identifiers, and community engagement platforms).

Instructors: Iris Jahng, Digital Scholarship Librarian, Countway Library
Scott Lapinski, Associate Director, Publishing & Data Services, Countway Library

Date:
Monday, February 13, 2023
Time:
12:00pm - 1:00pm
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:
  Classes     Data Management  
Registration has closed.

 

Happy Love Data Week 2023 "Data: Agent of Change" February 13-17! 

Love Data Week is dedicated to spreading awareness of the importance of research data management, sharing, preservation, and reuse. We share practical tips, resources, and stories to help researchers use good data practices at any stage in their careers. Research data are the foundation of the scholarly record and crucial for advancing our knowledge of the world around us. If you care about research data, please join us!

Event Organizer

Iris Jahng
Profile photo of Scott Lapinski
Scott Lapinski

I am available for individual consultations with the Harvard community. Please consult my calendar via the link below, and reserve a time which is most convenient for you.

Scott's Consultation Appointment Schedule

Thanks!

-Scott

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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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