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Enabling and Connecting Interoperable FAIR Digital Objects

Objective

Despite significant progress in open data, code sharing, and implementation of FAIR principles, there is no automated, universal mechanism capable to “FAIR-ify” DOs across large cross-domain repositories and data spaces. RAISE-CONNECT addresses this challenge by providing AI-powered, domain-agnostic connectors that can “FAIR-ify” DOs (i.e. data, code, experiments, experimental results and FDOs) and make them interoperable both within and across repositories. Leveraging existing EOSC-RAISE tools, it offers researchers and other stakeholders an entry point to access, share, and process FDOs with no effort. RAISE-CONNECT establishes an architectural framework for seamless creation, transformation, and integration of FDOs. At its core, it introduces an automated “FAIR-ification” service to continuously enhance DOs by searching across repositories for missing FAIR elements. This ensures that every DO can be transformed into an FDO that is discoverable, interoperable, and reusable. To maximise usability and uptake, RAISE-CONNECT lets users interact with DOs through natural language prompts, leveraging LLMs: users can “ask” for datasets, scripts, compare results, all without technical overhead. A model of Common Repository Connector acts as ”template” abstraction layer to bridge heterogeneous repositories, while different specific implementations of the it will be developed for well-known Data Spaces and DO repositories. The FAIR-ification Engine provides continuous and on-demand FAIR-ness assessment and transformation. Complex workflows can be initiated by natural language queries or graphical tools. By removing technical barriers and enforcing compliance, provenance, and reproducibility by design, it turns open science from a policy into an everyday practice for researchers, innovators, and data providers. RAISE-CONNECT will be validated on more than 12 real-life data, code, and experiment repositories, ensuring its applicability across diverse domains.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-INFRA-2025-01

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Coordinator

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 350 000,00
Address
KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIVERSITY CAMPUS
546 36 THESSALONIKI
Greece

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Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 350 000,00

Participants (23)

Partners (1)

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