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

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Princeton Neuroscience Institute
Princeton Neuroscience Institute, Room 101, Princeton University
March 23, 2018 | 12-1:30pm
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About this session
About this workshop

Computation is playing an increasingly central role in research. Journals, funders, and other researchers are calling for published research to include associated data and code. But what are the best practices and tools for sharing code and data? This workshop will explore the current landscape of reproducibility and introduce steps to prepare research code and data for computationally reproducible publication. The workshop starts with an analysis of computational reproducibility and its relevance to researchers, followed by guided work with code and data: preparing code for reuse, documentation, and submitting their code and data to share. We will finish with an in-depth demonstration of Code Ocean.

Audience: Active researchers who use code in their research and wish to share it, those who plan to do research using code, or those who support researchers. Participants should bring a laptop to fully participate.

Workshop goals:

  • Explore approaches to computational reproducibility and their relevance to researchers.
  • Learn best practices for documentation and sharing.
  • Assess possible tools for publishing code and data.
  • Learn how to submit your code and data for publishing using Code Ocean.

This free workshop is open to the Princeton community.

Food will be provided
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April Clyburne-Sherin
Outreach Scientist

April is an epidemiologist, methodologist, and expert in open science tools, methods, training, and community stewardship. She holds an MS in Population Medicine (Epidemiology). Since 2014, she has focussed on creating curriculum and running workshops for scientists in open and reproducible research methods (Center for Open Science, Sense About Science, SPARC) and is co-author of FOSTER's Open Science Training Handbook. In her current role as Outreach Scientist at Code Ocean, she trains scientists in computational reproducibility best practices.

Shahar Zaks
Director of Product, Code Ocean

Shahar is a user experience specialist, creative technologist, and software developer; he holds a Master's degree from the Interactive Telecommunications Program (ITP) at New York University, and a B.Sc. in Neuroscience from the Hebrew University in Jerusalem.

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