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

Icahn School of Medicine at Mount Sinai
February 6, 2019, 10am - 12pm
Large Computer Classroom 11-41

About this session

About this workshop

About this free workshop

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 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 organizing their files, creating a codebook, preparing their code for reuse, documentation, and submitting their code and data to share using Code Ocean.

Register: https://libcal.mssm.edu/event/4984525

Reserve your seat as space is limited

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Speaker

April Clyburne-Sherin

Outreach Scientist

april@codeocean.com

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.