In line with the objective of the CEF 2018 work programme and the CEF-T-5 call, the project will contribute to the European data infrastructure by improving the sharing and re-use of public and private data. By enabling the use of dynamic data sets such as Earth observation satellite and vehicle data, promoting HPC-based R&D through an integrated research laboratory and scientific knowledge and collaboration system, offering easy-to-use HPC-based services and tools, through specialised interfaces, and designed to provide different user experiences to a wide range of users.
In addition, DYDAS promotes the sharing and re-use of public and private data in a secure environment and through innovative monetisation mechanisms.
This collaborative platform will act as an e-marketplace for data access, but as added value it will be equipped with HPC-enabled services based on Big Data technologies, machine learning, AI and advanced services.
The project will test the data analysis capabilities of the platform through the integration and operation of three use cases (maritime, energy and mobility).
A key and differentiating element of the project will be the implementation of a Geospatial Data architecture. Architecture that, through the adoption of a geospatial data model and interoperability rules, allow seamless integration and processing capabilities of large data sets for innovative use modes.