BCC2020

→ Abstract


The presenter(s) will be available for live Q&A in this session (BCC West).

TysonLeeSwetnam

UniversityofArizona,TucsonAZ.Email:tswetnam@arizona.edu

ProjectWebsite:https://learning.cyverse.org/projects/foss-2020/en/latest/
SourceCode:https://github.com/CyVerse-learning-materials/foss-2020
License:CCBY4.0

Abstract
CyVerse is a research cyberinfrastructure funded by the National Science Foundation’s Directorate for Biological Sciences. CyVerse provides life scientists with computational infrastructure to handle big datasets and complex analyses, thus enabling data-driven discovery. Principal investigators have reported that access to computing resources is not the bottleneck to data-driven discovery, rather the requisite skills in utilizing cyberinfrastructure and access to training are the most limiting. Our “Foundational Open Science Skills (FOSS)” was designed as a weeklong, camp-style training to address these problems. The focus of FOSS is on computational research strategies, full lifecycle data management, the FAIR data principles, collaboration skills, and using open-source software. FOSS prepares researchers to meet the growing expectations of funding agencies, publishers, and research institutions for scientific reproducibility, data accessibility, and advanced analytics. In this talk, I will discuss our lessons learned, how participants become familiar with productivity software for organizing their data science lab group, communications, and research; and how we approach teaching computational skills from laptop to cloud and high-performance computing (HPC) systems. In the last twelve months, FOSS has been taught twice to over forty early career researchers. Participants have gone on to begin their tenure-track positions, conduct funded research, written new proposals utilizing FOSS techniques and have won competitive grant awards. To contribute back to the community, we have placed our training materials online in GitHub in ReadTheDocs format, where anyone can learn from them or contribute back to the project.