Foundational Open Science Skills

September 15 - November 17, 2022

10 weekly virtual sessions on Thursdays

Looking for an opportunity to work collaboratively with your peers, level up with the latest open science technologies, or incorporate these approaches into your teaching and research? Then join our next Foundational Open Science Skills workshop!

This 10 weeks-long camp is designed to kickstart your Open Science career by combining lectures, presentations, short breakouts for group work, with hands-on tutorials and homework to reinforce skills, capped off by a group or individual project of your choice to put it all together.

What you'll learn

Through meaningful interactions with colleagues and trainers, and mentoring to help you level up your skills to meet the data science revolution, FOSS builds your research toolbox, your community, and your confidence so that your data-driven research rests upon a solid open science foundation.

Use open source tools to manage the full data lifecycle for open science and improved reproducibility
Scale out your computation from laptop to cloud and HPC systems
Organize your lab, communications, and research with productivity software
Connect with colleagues across institutional boundaries and research domains
Engage with the community of Open Science practitioners

Who should attend

Geared toward faculty, postdocs, and advanced graduate students of all skill levels, FOSS offers hands-on learning to build a solid Open Science foundation for your research and educational projects in a collaborative, supportive atmosphere with peers and project mentors.

Come on your own or as a team. FOSS is geared toward helping PIs make and implement decisions on computational approaches, lab policies, collaboration, and hiring and identifying areas for future training.

Set yourself apart with new technical and virtual collaboration skills that funders, research and educational institutions, and even students now demand.

What's covered

Tools for managing the data lifecycle using FAIR (Findable, Accessible, Interoperable, Reusable) data principles
Introduction to container technology to streamline your work and make it more reproducible
Code development best practices, including continuous integration
Interactive collaboration tools such as GitHub/GitHub Pages for research and teaching
Best practices for writing successful, competitive research proposals
Experience using HPC, distributed computing, cloud computing systems

Schedule

Section	Topics (view detailed schedule)
1	What is Open Science? Overview and Onboarding
2	Working with Data: Intro to Data Store, Scale and Challenges of Data; Nirav Merchant on Open Science
3	Essential Skills: Key Concepts of Linux Command Line, VICE Apps
4	Planning Your Open Science Lab: Documentation, GitHub Pages; Making Collaboration and Project Management Efficient
5	Using Git: Versioning, Issues, Pull Requests, and more
6	Reproducibility Tutorial: Run Analyses in CyVerse, Install a Tool at the Command Line Interface
7	Reproducibility Tutorial: Containers – Developing and Using Your Tools on Any Platform
8	Reproducible Research: Workflows
9	Putting It All Together 1: Getting Started on a Team-based Capstone Project
10	Putting It All Together 2: Team and/or Individual Presentations of Capstone Projects

Registration Cost

Tuition	Fee
FOSS Tuition	$150

Register Now

Still not sure if FOSS is right for you?

Don't let a lack of command-line or coding skills intimidate you from joining the data science revolution! CyVerse's onboarding resources provide a leg up to help you understand, learn to access, and effectively use the cyberinfrastructure backbone of 21st century science.

Whether you attend to hone your own skills or come with your team to enable achieving a collaborative goal, the capstone project offers hands-on time to apply and reinforce skills you've learned. In learning FOSS principles and practices, opportunities to gain "soft skills" in communications, team-building, goal-setting, collaborative problem identification-solving, and project management are par for the course.

Instructors

CyVerse's team of experienced scientific bioinformaticians teach using a small workgroup format, including homework assignments to keep you on track with your research or curriculum development and skills acquisition goals.

Nirav Merchant

Director, Data Science Institute

Tyson Swetnam

Science Informatician

Michael Culshaw Maurer

Postdoc, CyVerse and Carpentries

Michele Cosi

Science Analyst

Jason Williams

Lead, CyVerse Education & Outreach

Amanda Cooksey

Science Informatician

What people are saying about FOSS...

“Learning from the FOSS team was an incredible experience...cementing my existing knowledge and gaining new skills/information is going to be invaluable to my research moving forwards. 100% recommend to anyone looking to level up their reproducibility skills.”

"The capstone project made me actually feel in control of using the tools I was eager to learn but it was also fairly low stress. I learned a lot from this."

"I will definitely be integrating containers and snakemake into my own workflow as much as I can, and separately, I plan on pushing my collaborators and lab members to get on the reproducibility train as well!"

"I observed the teaching of difficult FOSS principles in plain, jargon-free language that I definitely will try to emulate!"

“I like all these best practice insights and am trying to include them in my daily work already.”

"The highlight of FOSS for me was the new vision and excitement I got of using cloud-based, open tools for collaboration and organization."

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