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Preparing your data and code for reproducible publication: A hands-on workshop for researchers

Thursday, October 25, 2018, 10:00am - 12:00pm
Cabot Library
Workshop,

Harvard Library Open Access Week Program

Code Ocean Workshop

Sponsored by Harvard Library Research Data Management Program, Harvard Dataverse 

Computational analyses are playing an increasingly central role in research. Journals, funders, and other researchers are calling for published research to include associated data and code. However, many researchers have not received training in best practices and tools for sharing code and data.

This is a step-by-step, practical workshop to prepare your research code and data for computationally reproducible publication. The workshop starts with some brief introductory information about computational reproducibility, but the bulk of the workshop is guided work with code and data. We cover the basic best practices for publishing code and data. Participants move through best practices for organizing their files, preparing their code for reuse, documentation, and submitting their code and data to share using Code Ocean.

Workshop goals:

  • Learn best practices for file organization, documentation, automation, and dissemination.
  • Assess possible tools for publishing code and data.
  • Submit your code and data for publishing on Code Ocean.

Prerequisites: Participants should bring their own data, code, and laptop.

Instructor: April Clyburne-Sherin, Director of Scientific Outreach, Code Ocean

Contactceilyn_boyd@harvard.edu

This workshop is limited to 40 attendees, so register early to confrim your spot! Refreshments will be provided.

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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!