The DYDAS project to manage Big Data
The DYDAS project aims at developing a collaborative platform for offering data, algorithms, processing and analysis services to a large number of users from different public and private user communities. The platform will act as an e-marketplace enabling transactions for accessing data and added value services enabled by HPC and based on Big Data technologies, machine learning, AI and advanced data analytics, with the purpose to match demand and offer among those who own intellectual properties on data/methods for their use and those who need or want to exploit them.
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.
DYDAS is funded by the CEF TELECOM 2018 and developed by a partnership led by K2 with ENEA, ITHACA, ANCI Lazio and GMatics.
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.
The project started on October, 1st 2019 and will end on September, 30th 2022.