Data Sharing Spaces: The BDVA Perspective

Curry, Edward; Tuikka, Tuomo; Metzger, Andreas; Zillner, Sonja; Bertels, Natalie; Ducuing, Charlotte; Carbonare, Davide Dalle; Gusmeroli, Sergio; Scerri, Simon; Vallejo, Irene Lopez de; Robles, Ana García

doi:10.1007/978-3-030-93975-5_22

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…The term "federated" means that balanced and fair regulation ensures that the various stakeholders as a whole benefit from the data exchange [17,18]. The prerequisite for data exchange in a multi-stakeholder environment is therefore not only based on technical implementation, but also on fair and transparent regulation that is implemented in a trustworthy manner via an institution authorized for this purpose, the "federator" [19].…”

Section: Introductionmentioning

confidence: 99%

Data Cooperatives as a Catalyst for Collaboration, Data Sharing and the Digital Transformation of the Construction Sector

et al. 2023

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Digital federated platforms and data cooperatives for secure, trusted and sovereign data exchange will play a central role in the construction industry of the future. With the help of platforms, cooperatives and their novel value creation, the digital transformation and the degree of organization of the construction value chain can be taken to a new level of collaboration. The goal of this research project was to develop an experimental prototype for a federated innovation data platform along with a suitable exemplary use case. The prototype is to serve the construction industry as a demonstrator for further developments and form the basis for an innovation platform. It exemplifies how an overall concept is concretely implemented along one or more use cases that address high-priority industry pain points. This concept will create a blueprint and a framework for further developments, which will then be further established in the market. The research project illuminates the perspective of various governance innovations to increase industry collaboration, productivity and capital project performance and transparency as well as the overall potential of possible platform business models. However, a comprehensive expert survey revealed that there are considerable obstacles to trust-based data exchange between the key stakeholders in the industry value network. The obstacles to cooperation are predominantly not of a technical nature but rather of a competitive, predominantly trust-related nature. To overcome these obstacles and create a pre-competitive space of trust, the authors therefore propose the governance structure of a data cooperative model, which is discussed in detail in this paper.

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Section: Introductionmentioning

confidence: 99%

Data Cooperatives as a Catalyst for Collaboration, Data Sharing and the Digital Transformation of the Construction Sector

et al. 2023

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“…Decentralized data-sharing is an essential aspect of Dataspace 4.0, as it allows multiple parties to share data without needing a central authority or intermediary [9], leading to improved collaboration, increased data privacy and se-curity, and the potential for new business models and revenue streams. Several decentralized data-sharing technologies and techniques, such as Federated Learning (FL) [10] and blockchain [11], have emerged as promising solutions to address these challenges.…”

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confidence: 99%

Federated Learning Meets Blockchain in Decentralized Data Sharing: Healthcare Use Case

Alsamhi,

Myrzashova,

Hawbani

et al. 2024

IEEE Internet Things J.

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In the era of data-driven healthcare, the amalgamation of blockchain and Federated Learning (FL) introduces a paradigm shift towards secure, collaborative, and patient-centric data-sharing. This paper pioneers the exploration of the conceptual framework and technical synergy of FL and blockchain for decentralized data-sharing, aiming to strike a balance between data utility and privacy. FL, a decentralized machine learning paradigm, enables collaborative AI model training across multiple healthcare institutions without sharing raw patient data. Combined with blockchain, a transparent and immutable ledger, it establishes an ecosystem fostering trust, security, and data integrity. The paper elucidates the technical foundations of FL and blockchain, unravelling their roles in reshaping healthcare data-sharing. The paper vividly illustrates the potential impact of this fusion on patient care. The proposed approach preserves patient privacy while granting healthcare providers and researchers access to diversified datasets, ultimately leading to more accurate models and improved diagnoses. The findings underscore the potential acceleration of medical research, improved treatment outcomes, and patient empowerment through data ownership. The synergy of FL and blockchain envisions a healthcare ecosystem that prioritizes individual privacy and propels advancements in medical science.

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Data Sharing Spaces: The BDVA Perspective

Cited by 2 publications

References 2 publications

Data Cooperatives as a Catalyst for Collaboration, Data Sharing and the Digital Transformation of the Construction Sector

Data Cooperatives as a Catalyst for Collaboration, Data Sharing and the Digital Transformation of the Construction Sector

Federated Learning Meets Blockchain in Decentralized Data Sharing: Healthcare Use Case

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