Join us for a demonstration and Q&A session on the Code Ocean platform!
Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover, and run code published in academic journals and conferences. Researchers and scientists can link executable code and data to articles published in academic journals and conference proceedings while retaining copyright.
Code Ocean assigns Digital Object Identifiers (DOIs) to support citable attribution and partners with publishers to add working code to the research outputs readily available from research articles. Code Ocean was founded in 2015 with the goal of saving researchers time and advancing science by making the world's scientific code more reusable and reproducible.
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.