Evidence map›Paper›PMID 42125595›Full record

ArticleData in brief2026

Leveraging technologies for data management and sharing to foster collaboration and implement data spaces.

Ioannis Chrysakis, Gerasimos Antzoulatos, Luis Sánchez, Josiane Xavier Parreira, Dimitrios Skoutas, Iroshani Jayawardene, Roberto Di Bernardo, Eloisa Vargiu, Stefanos Vrochidis, Erik Mannens

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ioannis ChrysakisNetcompany S.A., Research and Innovation Development Department (RID), Luxembourg.
Gerasimos AntzoulatosCentre For Research and Technology - Hellas, Greece.
Luis SánchezNetwork Planning and Mobile Communications Lab, Universidad de Cantabria, Spain.
Josiane Xavier ParreiraSiemens AG, Austria.
Dimitrios SkoutasAthena Research Center, Greece.
Iroshani JayawardeneSintef Digital, Norway.
Roberto Di BernardoEngineering Group, Italy.
Eloisa VargiuCetaqua, Spain.
Stefanos VrochidisCentre For Research and Technology - Hellas, Greece.
Erik MannensIDLab, Department of Electronics and Information Systems, Ghent University, imec, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2020 European Strategy for Data aims at developing Common European Data Spaces as a means to build a pan-European single market for data, thereby supporting economic growth and maximizing citizens' use of data. It demands data spaces in strategic sectors, with capabilities for effective data management and sharing. Although several initiatives support their adoption, data spaces are still in the early stages of development and face several data management and sharing challenges. To identify the requirements needed to address these challenges, we review the literature in developing a conceptual framework for applying data management and sharing in the context of data spaces. We then evaluate the practical implementation of the proposed solutions by analysing six representative European-funded projects. Focusing on requirements from trust and business models to interoperability, workflow orchestration, energy efficiency, and data quality, the work highlights prominent issues and explains how each project addresses them through technical means. Our evaluation outlines each project's aim and contribution, along with a representative use case from different domains, e.g., water, agriculture, and energy. We recognize widely accepted strategies such as the use of semantic standards, data catalogues, distributed ledger technologies for trust enhancement, and federated identity management. This work highlights recurring patterns, common practices, and key differences in implementation and identifies open research gaps. Thus, it aims to inform future initiatives and provide concrete recommendations to researchers and practitioners on achieving data spaces with best practices. As the field matures, the work hopes to help achieve scalable, stable, and cross-domain data spaces that support sustainable innovation and long-term collaboration throughout Europe.

Indexed as

Data ecosystemsData managementData sharingData spaces

Identifiers

PMID42125595
PMCPMC13158788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.