TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research

Maatouk, Hamza and Uschmann, Sebastian and Festag, Sven and Schneider, Tim and Weber, Anna and Khoi, Ngo Manh and Bock, Sven and Jonas, Stephan M. and Spreckelsen, Cord and Klan, Friederike (2023) TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. In: 21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023, 305, pp. 238-239. IOS Press. 21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH) 2023, 2023-07-01 - 2023-07-03, Athens, Greece. doi: 10.3233/SHTI230472. ISBN 978-164368400-0. ISSN 0926-9630.

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Official URL: https://doi.org/10.3233/SHTI230472

Abstract

Ensuring data quality and protecting data are key requirements when working with health-related data. Re-identification risks of feature-rich data sets have led to the dissolution of the hard boundary between data protected by data protection laws (GDPR) and anonymized data sets. To solve this problem, the TrustNShare project is creating a transparent data trust that acts as a trusted intermediary. This allows for secure and controlled data exchange, while offering flexible datasharing options, considering trustworthiness, risk tolerance, and healthcare interoperability. Empirical studies and participatory research will be conducted to develop a trustworthy and effective data trust model.

Item URL in elib:

https://elib.dlr.de/198012/

Document Type:

Conference or Workshop Item (Speech)

Title:

TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Maatouk, Hamza	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Uschmann, Sebastian	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Festag, Sven	UNSPECIFIED	https://orcid.org/0000-0002-2507-5901	UNSPECIFIED
Schneider, Tim	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Weber, Anna	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Khoi, Ngo Manh	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Bock, Sven	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Jonas, Stephan M.	UNSPECIFIED	https://orcid.org/0000-0002-3687-6165	UNSPECIFIED
Spreckelsen, Cord	UNSPECIFIED	https://orcid.org/0000-0002-7301-1566	UNSPECIFIED
Klan, Friederike	UNSPECIFIED	https://orcid.org/0000-0002-1856-7334	UNSPECIFIED

Date:

1 July 2023

Journal or Publication Title:

21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Volume:

305

DOI:

10.3233/SHTI230472

Page Range:

pp. 238-239

Publisher:

IOS Press

Series Name:

Studies in Health Technology and Informatics

ISSN:

0926-9630

ISBN:

978-164368400-0

Status:

Published

Keywords:

smart contracts, data trust, incentives

Event Title:

21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH) 2023

Event Location:

Athens, Greece

Event Type:

international Conference

Event Start Date:

1 July 2023

Event End Date:

3 July 2023

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Process for data acquisition and quality assurance for AI applications

Location:

Jena

Institutes and Institutions:

Institute of Data Science > Data Acquisition and Mobilisation

Deposited By:

Klan, Dr. Friederike

Deposited On:

13 Nov 2023 15:56

Last Modified:

24 Apr 2024 20:58

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