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CORDIS

Data Discovery Platform with Generalized Exploratory, Management, and Search Capabilities

Project description

Easier data discovery and management

Data is an asset that spurs innovation, drives decision making, improves operations and impacts science, environment, health, energy, education, industry and society in general. Nevertheless, the expanding sea of data remains mostly unexplored and underutilised. The EU-funded DataGEMS project aims to change that by offering a next-generation dataset discovery and management ecosystem that will provide algorithms to make datasets discoverable, combinable and explorable. DataGEMS develops state-of-the-art data management, natural language processing and machine learning technology to discover and analyse datasets of different data modalities such as tabular data, text documents, knowledge graphs and images. The main goal is to gain new insights into vast amounts of complex, heterogeneous data sets by providing intuitive tools. DataGEMS promotes data FAIRness in key areas such as education, meteorology and linguistics.

Objective

DataGEMS is a data discovery platform with Generalized Exploratory, Management, and Search capabilities. DataGEMS is built on the principles of data FAIRness, openness and re-use. It aims to seamlessly integrate data sharing, discovery and analysis into a system that addresses the whole data lifecycle, i.e. sharing, storing, managing, discovering, analyzing and reusing (data and/or metadata), bridging the gap between the data provider and the data consumer. DataGEMS is a next-generation data discovery and management ecosystem that engulfs different types of data (structured, unstructured, real-time and historical) and enables users to (a) enrich data through powerful data profiling mechanisms (b) seamlessly discover and analyze data across and within datasets using user-intuitive discovery and analysis mechanisms, such as using natural language and patterns, and (c) effectively explore and combine data with the help of stepwise guidance mechanisms during dataset discovery and analysis. The effective and efficient functioning of these mechansims will be powered by a data and model management layer that decouples data management at the low level from the data analytics at the higher level. DataGEMS is informed by and will be initially tested and deployed to promote data FAIRness and benefit diverse user communities and types of users on core domains: education, meteorology, and language data infrastructures.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

(opens in new window) HORIZON-INFRA-2024-EOSC-01

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Coordinator

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
Net EU contribution
€ 1 130 875,00
Address
ARTEMIDOS 6 KAI EPIDAVROU
151 25 MAROUSSI
Greece
Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
Activity type
Research Organisations
Links
Total cost
€ 1 130 875,00

Participants (12)

Partners (2)