With the aim of improving the reproducibility of the research they publish and fund, journals and funders are increasingly calling for published research to share associated materials. However, many researchers have not received training in the best practices and tools for reproducibly sharing their research. This workshop introduces reproducibility best practices for biomedical and clinical research. We will provide a survey of the history and current landscape of reproducibility and identify the barriers. We will present practical solutions and resources. Finally, we will demonstrate tools that help biomedical and clinical researchers overcome barriers to reproducibility and practice using these tools during hands-on activities, including how to share their research code using Code Ocean.
Prerequisites: Participants should bring their own data, code, and laptop.
Audience: Biomedical or clinical researchers who use code in their research and wish to share it.
Hosted in partnership with IQSS, Harvard Dataverse, and the Office for Postdoctoral Fellows.
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.