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. 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.
Sponsored by BIDS, Research IT, and the Berkeley Library.
Prerequisites
Participants should bring their own data, code, and laptop.
Audience
Researchers who use code in their research and wish to share it.
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.
Location
Berkeley Institute of Data Science (BIDS), 190 Doe Library
A Lunch & Learn demonstrating the Code Ocean platform will precede the workshop from 12-1pm. RSVP for the Lunch & Learn here: https://www.eventbrite.com/e/code-ocean-lunch-learn-university-of-california-berkeley-tickets-54721185539.
