This webinar provides a first-hand look at how the IT team at the University of Colorado Boulder's BioFrontiers Institute supports core facilities and research laboratories while ensuring scientific reproducibility.

Scientific reproducibility is a growing challenge in biomedicine and many other disciplines. While the biological literature is becoming more open, and data is becoming more widely shared, code written in a biomedical context is often not reproducible.

BioFrontiers IT (BIT) has approached this challenge by creating a purpose-designed IT team with scientific backgrounds and literacy. This team directly integrates into research pipelines and provides guidance and technology resources to support these efforts. BIT works with core facilities to bring reproducible computing best practices into their daily workflows using a combination of educational workshops, hackathons, and user partnerships.

In this webinar, members of the BIT team highlight real-life examples where it has deployed continuous analysis and containerization technologies to respond to the computing challenges of a modern IT group supporting core facilities and research laboratories.

For more information on other webinars in this series, click here.