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If you are looking for an opportunity to work with your peers, get familiar with the latest cyberinfrastructure resources, and learn effective pedagogical approaches, please join our Spring 2021 Foundational Open Science Skills Online. The 10 weekly, 2-hour sessions are designed to accommodate your busy schedule by combining lectures, presentations, short breakouts, hands-on tutorials and capped by a group or individual project of your choice.

Through meaningful interactions with colleagues and trainers, and mentoring to help you level up your skills to meet the data science revolution, FOSS Online builds your research toolbox, your community, and your confidence that your data-driven research rests upon a solid open science foundation. The registration deadline is February 8. Seating is limited.

Expected Outcomes

  • Proficiently organize your lab, communications, and research with productivity software
  • Capably scale out your computation from laptop to cloud and HPC systems
  • Skillfully manage the data lifecycle for open science and reproducibility
  • Connect with colleagues across institutional boundaries and research domains
  • Engage with the community of Open Science practitioners

 

What will you learn?

  • FAIR (Findable, Accessible, Interoperable, Reusable) data principles and tools for managing the data lifecycle
  • How to use container technology to streamline your work
  • How to scale out your computation from laptop to cloud to HPC
  • Development best practices, including continuous integration 
  • Interactive collaboration tools such as GitHub for research and teaching
  • Best practices for writing successful, competitive research proposals
  • Experience using HPC, distributed computing, cloud computing systems 

Open to all skill levels

 

About the course

Open to faculty, postdocs, and advanced graduate students of all skill levels, FOSS Online offers hands-on learning resources to build a solid Open Science foundation for your research and educational projects, in a collaborative, supportive atmosphere with peers and project mentors. The curriculum will help you set yourself apart, with new technical and virtual collaboration skills that funders, research and educational institutions, and even students now demand. 

CyVerse's team of experienced scientific bioinformaticians teach using a small workgroup format, including weekly check-ins and homework assignments to keep you on track with your research or curriculum development goals. Flexible times allow you to attend one 2-hour session each week; a mid-semester Break provides a chance to catch-up or to dig deeper into Container technology. Don't let a lack of command-line or coding skills intimidate you, as CyVerse's onboarding resources provide a leg up to help you learn to access and use the cyberinfrastructure backbone of 21st century science and join the data science revolution.

Whether you attend singly to hone your skills or as a lab/team focused on achieving a collaborative goal, the capstone project offers hands-on time to apply your hard-won skills using your data or curricula with assistance from your instructors.