This semester-long meet-up will teach you how to do collaborative open science using cutting-edge open source cyberinfrastructure. Check out the curriculum in CyVerse Learning.

*This event is sold out. Click below if you would like to be notified about the next course offering, currently planned for Spring 2021.

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If you are looking for an opportunity to work with your peers, work with the latest cyberinfrastructure resources, and learn effective pedagogical approaches, please join our Fall 2020 Foundational Open Science Skills Online in collaboration with QUBES Hub. This course is designed to accommodate your busy schedule while providing meaningful interactions with colleagues and mentoring to help you level up your curricula using computational resources to meet the data science revolution.

Learn the how-to's and about open source technology, full lifecycle data management, and creative, effective collaboration skills for your computational research and curricula development.

Coursework begins July 28, with a two-week rolling enrollment period through August 10. Late enrollees may catch up on missed sessions via recorded video presentations.

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



Week Date Topic
0 July 28 - 30 Onboarding – set-up accounts and prerequisite apps
1 August 11 - 13 Lab Communication & Documentation – using authoring tools to show and communicate
2 August 25 – 27 Essential Skills – starting with key concepts of Linux command line and Git
3 September 8 – 10 Planning Your Open Science Lab – making collaboration and project management efficient
4 September 22 – 24 Data Management – managing metadata, data management plans, and making data FAIR
5 October 6 - 8 Reproducible Research: Basics – turning tools into a workflow
6 October 20 - 22 Reproducible Research: Containers – developing and using your tools on any platform
7 November 3 - 5 Reproducible Research: Continuous Integration – making things reliable and automated


What will you learn?

  • FAIR (Findable, Accessible, Interoperable, Reusable) data principles and tools for managing the data lifecycle
  • How to build and 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 collaborative 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.

We developed this entirely virtual lesson format as a solution to the in-person workshop challenges posed by the COVID-19 pandemic, and as part of our endeavors to facilitate greater connection and collaboration among our global community.

Presented using the QUBES online teaching platform, FOSS Online will help you use this time effectively to set yourself apart with new technical and virtual collaboration skills that funders, research and educational institutions, and even students now demand. Level up your teaching, training, collaborating, proposal writing, and publishing.

Our small workgroup format, including biweekly check-ins and homework assignments will help you keep on track with your research or curriculum development goals. Flexible times allow you to attend a 2-hour session either Tuesdays (11:00AM Pacific Time; 2:00PM Eastern) or Thursdays (1:00PM Pacific Time; 4:00PM Eastern) every other week. Office hours are available to help you stay on track with your goals.

Additionally, our curriculum will include hands-on time for your project(s), so make sure to bring your own data or lesson plan concept to develop with assistance from your instructors.

Cost: There is a $50 registration fee.


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