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

Hamza Maatouk; Sebastian Uschmann; Sven Festag; Tim Schneider; Anna Weber; Ngo Manh Khoi; Sven Bock; Stephan M. Jonas; Cord Spreckelsen; Friederike Klan

doi:10.3233/SHTI230472

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

Hamza Maatouk
, Sebastian Uschmann
, Sven Festag
, Tim Schneider
, Anna Weber
, Ngo Manh Khoi
, Sven Bock
, Stephan M. Jonas
, Cord Spreckelsen
, Friederike Klan

University of Bonn and University Hospital Bonn
University Heart Center
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Healthcare Transformation with Informatics and Artificial Intelligence
Editors	John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Martha Charalampidou, Andriana Magdalinou
Publisher	IOS Press BV
Pages	238-239
Number of pages	2
ISBN (Electronic)	9781643684000
DOIs	https://doi.org/10.3233/SHTI230472
State	Published - 29 Jun 2023
Externally published	Yes
Event	21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023 - Athens, Greece Duration: 1 Jul 2023 → 3 Jul 2023

Publication series

Name	Studies in Health Technology and Informatics
Volume	305
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023
Country/Territory	Greece
City	Athens
Period	1/07/23 → 3/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Smart contracts
data trust
incentives

Access to Document

10.3233/SHTI230472

Cite this

Maatouk, H., Uschmann, S., Festag, S., Schneider, T., Weber, A., Khoi, N. M., Bock, S., Jonas, S. M., Spreckelsen, C., & Klan, F. (2023). TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. In J. Mantas, P. Gallos, E. Zoulias, A. Hasman, M. S. Househ, M. Charalampidou, & A. Magdalinou (Eds.), Healthcare Transformation with Informatics and Artificial Intelligence (pp. 238-239). (Studies in Health Technology and Informatics; Vol. 305). IOS Press BV. https://doi.org/10.3233/SHTI230472

Maatouk, Hamza ; Uschmann, Sebastian ; Festag, Sven et al. / TrustNShare : Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. Healthcare Transformation with Informatics and Artificial Intelligence. editor / John Mantas ; Parisis Gallos ; Emmanouil Zoulias ; Arie Hasman ; Mowafa S. Househ ; Martha Charalampidou ; Andriana Magdalinou. IOS Press BV, 2023. pp. 238-239 (Studies in Health Technology and Informatics).

@inproceedings{3ea908314e644bdb9d0ef8bef692a051,

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

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.",

keywords = "Smart contracts, data trust, incentives",

author = "Hamza Maatouk and Sebastian Uschmann and Sven Festag and Tim Schneider and Anna Weber and Khoi, \{Ngo Manh\} and Sven Bock and Jonas, \{Stephan M.\} and Cord Spreckelsen and Friederike Klan",

note = "Publisher Copyright: {\textcopyright} 2023 The authors and IOS Press.; 21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023 ; Conference date: 01-07-2023 Through 03-07-2023",

year = "2023",

month = jun,

day = "29",

doi = "10.3233/SHTI230472",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press BV",

pages = "238--239",

editor = "John Mantas and Parisis Gallos and Emmanouil Zoulias and Arie Hasman and Househ, \{Mowafa S.\} and Martha Charalampidou and Andriana Magdalinou",

booktitle = "Healthcare Transformation with Informatics and Artificial Intelligence",

}

Maatouk, H, Uschmann, S, Festag, S, Schneider, T, Weber, A, Khoi, NM, Bock, S, Jonas, SM, Spreckelsen, C & Klan, F 2023, TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. in J Mantas, P Gallos, E Zoulias, A Hasman, MS Househ, M Charalampidou & A Magdalinou (eds), Healthcare Transformation with Informatics and Artificial Intelligence. Studies in Health Technology and Informatics, vol. 305, IOS Press BV, pp. 238-239, 21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023, Athens, Greece, 1/07/23. https://doi.org/10.3233/SHTI230472

TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. / Maatouk, Hamza; Uschmann, Sebastian; Festag, Sven et al.
Healthcare Transformation with Informatics and Artificial Intelligence. ed. / John Mantas; Parisis Gallos; Emmanouil Zoulias; Arie Hasman; Mowafa S. Househ; Martha Charalampidou; Andriana Magdalinou. IOS Press BV, 2023. p. 238-239 (Studies in Health Technology and Informatics; Vol. 305).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - TrustNShare

T2 - 21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023

AU - Maatouk, Hamza

AU - Uschmann, Sebastian

AU - Festag, Sven

AU - Schneider, Tim

AU - Weber, Anna

AU - Khoi, Ngo Manh

AU - Bock, Sven

AU - Jonas, Stephan M.

AU - Spreckelsen, Cord

AU - Klan, Friederike

PY - 2023/6/29

Y1 - 2023/6/29

N2 - 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.

AB - 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.

KW - Smart contracts

KW - data trust

KW - incentives

UR - https://www.scopus.com/pages/publications/85164231457

U2 - 10.3233/SHTI230472

DO - 10.3233/SHTI230472

M3 - Conference contribution

C2 - 37387006

AN - SCOPUS:85164231457

T3 - Studies in Health Technology and Informatics

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EP - 239

BT - Healthcare Transformation with Informatics and Artificial Intelligence

A2 - Mantas, John

A2 - Gallos, Parisis

A2 - Zoulias, Emmanouil

A2 - Hasman, Arie

A2 - Househ, Mowafa S.

A2 - Charalampidou, Martha

A2 - Magdalinou, Andriana

PB - IOS Press BV

Y2 - 1 July 2023 through 3 July 2023

ER -

Maatouk H, Uschmann S, Festag S, Schneider T, Weber A, Khoi NM et al. TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. In Mantas J, Gallos P, Zoulias E, Hasman A, Househ MS, Charalampidou M, Magdalinou A, editors, Healthcare Transformation with Informatics and Artificial Intelligence. IOS Press BV. 2023. p. 238-239. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI230472

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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