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. 2025 Jun 10:61:111757.
doi: 10.1016/j.dib.2025.111757. eCollection 2025 Aug.

A decentralised architecture for secure exchange of assets in data spaces: The case of SEDIMARK

Erika Duriakova  1 , Diarmuid O'Reilly-Morgan  1 , Maroua Bahri  2 , Maxime Costalonga  3 , Gabriel Danciu  4 , Septimiu Nechifor  4 , Stefan-Cristian Jarcau  4 , Tarek Elsaleh  5 , Peipei Wu  5 , Franck Le Gall  6 , Grigorios Koutantos  7 , Panagiotis Vlacheas  7 , Luis Sánchez  8 , Juan Ramón Santana  8 , Pablo Sotres  8 , Elias Tragos  1
Affiliations

A decentralised architecture for secure exchange of assets in data spaces: The case of SEDIMARK

Erika Duriakova et al. Data Brief. .

Abstract

The European Union's (EU) data strategy aims to create a single market for seamless data flow while ensuring proper governance, privacy, and data protection. In this paper, we present SEDIMARK, an EU project, that builds on this strategy by developing a fully decentralised, secure data marketplace. The goal of SEDIMARK is to build a complete toolbox that enables users to purchase and process data assets. The toolbox includes tools for data cleaning, decentralised machine learning models and secure data exchange. SEDIMARK offers users full control over data assets by enabling them to keep their data locally and thus removing the need for central servers. With customisable pipelines and tools, SEDIMARK supports a wide range of users, from novices to experts, promoting seamless collaboration and fair access to high-quality datasets across Europe. The decentralised connectivity in SEDIMARK is achieved with the use of Distributed Ledger Technology (DLT). Furthermore, SEDIMARK's architecture features a unique Connector component using Self Sovereign Identities (SSI), fostering trust and secure interactions. Transactions in SEDIMARK are stored in a Registry, a decentralised, immutable, non-repudiable and permissionless database. Together the technologies used in SEDIMARK ensure privacy, trust and data quality for secure management, sharing, and monetisation of assets in data spaces.

Keywords: Artificial intelligence; Data quality; Decentralised data spaces; Marketplace; System architecture.

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Figures

Fig 1:
Fig. 1
SEDIMARK high-level architecture [15].
Fig 2:
Fig. 2
DLT-based asset exchange architecture.
Fig 3:
Fig. 3
Architecture for data processing pipelines.
Fig 4:
Fig. 4
Architecture for AI pipelines.
Fig 5:
Fig. 5
Storage enablement for local and distributed artefacts.
See this image and copyright information in PMC

References

    1. European Commission: communication from the commission to the European parliament, the council, the European economic and social committee and the committee of the regions a European strategy for data (2020).
    1. European Commission: regulation (EU) 2023/2854 of the European parliament and of the council of 13 December 2023 on harmonised rules on fair access to and use of data and amending regulation (EU) 2017/2394 and directive (EU) 2020/1828(data act) (text with EEA relevance) (2023).
    1. Curry E., Auer S., Berre A.J., Metzger A., Perez M.S., Zillner S. Technologies and Applications for Big Data Value. Springer; 2022. Technologies and applications for big data value; pp. 1–15.
    1. Data spaces support centre: data spaces blueprint v1.0. https://dssc.eu/page/blueprint, Accessed: 2024-09-24.
    1. EU Data Market Monitoring Tool: The European data market monitoring tool key facts and figures, first policy conclusions, data landscape and quantified stories.d2.9 final study report (2024).

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