Community

The RADAR-base community originated from the IMI-funded project RADAR-CNS, a collaboration between clinicians, developers, researchers, patient organisations, and EFPIA partners. Together, they aimed to transform healthcare by harnessing sensor data from wearable devices and smartphones to better understand and manage health conditions.

The RADAR-base architecture consists of multiple components and methods for ingesting, processing, and accessing data. Understanding these core concepts is essential, especially if you plan to set up your own RADAR-base instance or contribute to platform development.

Before getting started, we recommend reviewing the following documents:

• Concepts and Components of RADAR-base platform.
• Concepts in Management Portal
• Introduction to passive and active data collection in RADAR-base.
• Introduction to Kafka connectors and Kafka connect API
• Introduction to Apache Avro

The RADAR-base platform, aside from the data collection apps, is distributed as Docker containers, packaged as Helm Charts, and orchestrated using Kubernetes. A basic understanding of Docker and Kubernetes will help you follow the deployment process effectively.

To begin, please read How to install RADAR-base using RADAR-Docker, which provides detailed, step-by-step instructions to help you set up your environment quickly and easily.