Welcome to the RADAR-base community!
The RADAR-base community emerged from the IMI funded project RADAR-CNS, where a consortium of clinicians, developers, researchers, patient organizations and EFPIA partners joined forces to transform care by leveraging sensor data from wearable devices like fitness trackers and smartphones.
Strengths of RADAR-base
- Independent of Disease and devices. Deploy in the cloud or on-premise.
- Ability to integrate with various devices and other systems. RADAR-base already integrates a growing list of devices.
- Passive monitoring and Active monitoring using mobile applications.
- Harmonized and structured data extraction of all collected data.
While you are getting started!
The RADAR-base architecture consists of multiple components and methods to ingest and access data. It is important to understand the concepts and components behind the RADAR-base architecture. Especially, if you are interested in setting an instance of RADAR-base on your server or willing to contribute to the platform development. Some recommended documents to read before getting started:
- 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
RADAR-base platform apart from the data ingesting apps are distributed as docker containers and integrated and orchestrated using Docker-compose. A basic working knowledge of docker containers and docker-compose are required to understand the deployment process for the platform.
Recommended server specifications.
The RADAR-base platform can be easily integrated in existing IT infrastructure or run autonomously in the cloud or on physical (on-premise) servers.
To set up an (virtual) environment for a RADAR-base instance, the following requirements are recommended:
- 4-core CPU
- 16 GB memory
- An SSD for the operating system and docker (at least 50 GB)
- 1 x 1 TB spinning disks for redundancy
This setup is sufficient for continuous collection of high-frequency data from up to 1000 study participants for a study duration of 12 months using the sensors of the passive app, with dashboard graphs disabled. See here for a overview of integrated data streams from smartphone sensors or wearable devices.