Project description
An extreme data platform for advanced data analysis and knowledge extraction
The EU-funded EXA4MIND project plans to build an extreme data platform that brings together data storage systems and powerful computing infrastructures. To this end, researchers will set up a unique, modular extreme data database and advanced analytics on supercomputers powered by artificial intelligence and machine learning. These technologies should help unlock data collection from heterogeneous sources, automatic data harmonisation and annotation on the fly. At its core, EXA4MIND is driven by four application cases in the fields of molecular dynamics, autonomous driving, smart agri/viticulture and health/social big data.
Objective
EXA4MIND will build an Extreme Data platform that brings together large scale data storage systems and powerful computing infrastructures by implementing novel automated data management and effective data staging. This will enable integration with extreme data sources and support complex and advanced data analysis pipelines for knowledge extraction. Involving three large universities and a research centre, small and medium-sized enterprises (SMEs), and the industrial sector, EXA4MIND uses interdisciplinary top-level expertise to create a modular Extreme Data Database (EDD) analytics environment. Driven by four representative Extreme Data Application Cases from the fields of molecular dynamics, autonomous driving, smart agri-/viticulture and health/social Big Data, EXA4MIND will support data ingestion and versatile preprocessing, develop an Advanced Query and Indexing System with convenient interfaces, and leverage high-performance storage and computing infrastructure. We will make Big Data from heterogeneous storage systems and database management systems available in a uniform way for processing on European pre-Exascale Supercomputers, cloud and AI-processing systems. Further to providing automatised staging, caching or direct access to these systems, the results and relevant data from our project will be made available to the European FAIR Data Ecosystem (including European Data Spaces, EUDAT, and the EOSC). Therefore, standardised modules and automated procedures will be implemented in our EDD. The project will constitute a leap forward towards common European Big and Extreme Data techniques in science, industry, and SMEs. Offering advanced data workflow orchestration, the EDD will be validated, proven, and sustained in collaboration with application partners, generating internationally recognised results. EXA4MIND will thus lay the technological foundations for future European data analytics and computation taking into account the whole Digital Continuum.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdata science
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticultureviticulture
- natural sciencescomputer and information sciencesdatabases
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
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Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
708 00 Ostrava Poruba
Czechia