FAIRR 101: Computational Tools for FAIRR Analytics

Solutions such as Git and Docker allow for containerization and tracing of your workflow, easing the reproducing and reusing by other scientists. However, many struggle to piece various components together.

What would your ultimate tech stack look like to ensure the optimal structure and performance of your computational project, from data to discovery?

Discover how scientists can utilize computational science technology that incorporates pre-existing solutions and adheres to FAIR principles at every level.

In this webinar, you'll discover:
- Critical components of life science workflows responsible for reproducibility and adherence to FAIRR analytics
- Current tools available for achieving reproducible and repeatable results
- Common challenges seen in the use of these tools, and how to adopt best practices to overcome them

Useful links:

Chapters:
0:00 Introduction
0:27 Pain Points in Life Science Workflows
1:31 Components of the Life Science Workflow
5:19 Tools for Improving FAIRR in Life Science Workflows
9:18 Common Challenges with Available Tools
14:19 Building your Tech Stack
18:03 A Case Study in FAIR and Computational tools
25:12 Code Ocean's Use of the Tech Stack
28:00 Summary