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

University of Minnesota
February 25, 2019
1pm – 3pm
Wilson Library S30C

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 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. Participants move through best practices for organizing their files, automating their analyses, documentation, and submitting their code and data for publication. Although workshop participants will be using the Code Ocean platform, the exercises and best practices are platform and discipline agnostic.

Participants should bring their own code, data, and laptop. Example code and data will available for those without. There are some computers available in S30C for those without laptops.

Speaker

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