Flywheel is a research data platform that provides the tools needed for data import, automated curation, image processing, machine learning workflows, and secure collaboration.
This overview guide will walk you through the Flywheel basics, so you can get started improving productivity, collaboration, and reproducibility. In this guide we'll cover:
Flywheel hierarchy and permissions - How all imaging data is organized and user permissions
Navigating - Getting around the Flywheel app
Adding data - Getting new or historical data into Flywheel
Viewing images - View, label, and annotate images
Search - Finding data in Flywheel
Downloading data - Exporting data from Flywheel
Gears - Automating data pre-processing workflows and analytic pipelines
To begin, sign in to Flywheel. Each institution that uses Flywheel has their own unique URL. Contact your institution's Flywheel Site Admin for your URL.
You will need to be added as a user by your institution's Site Admin before being able to log in. Most users will use their university or institution's username and password to sign in to Flywheel.
Your sign in screen will look different depending on which authentication methods your site uses.
Click Next to learn more about how data is organized in Flywheel and user roles and permissions