TY - JOUR
T1 - A Blockchain-based platform for data management and sharing
AU - Kumi, Sandra
AU - Lomotey, Richard K.
AU - Deters, Ralph
N1 - Funding Information:
Thanks to the University of Saskatchewan and Pennsylvania State University for financial support.
Publisher Copyright:
© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the Conference Program Chairs.
PY - 2022
Y1 - 2022
N2 - Data management is the collection, processing, storing, and sharing of data. In today's dispensation, data sharing and collaborative data processing is a necessity for multi-partner organizations as it can lead to the discovery of new insight. Shared data is generally for the purpose of marketing, advertising, and other institutional decision-making reasons. A challenge however is that the collected data (mostly about individuals known as data subjects or producers) is disseminated among organizations without meaningful consent from the data subjects. Hence, data subjects are not aware of what is happening to their data regarding use and misuse. Furthermore, data subjects can hardly determine which third-party institutions have access to their data. In this paper, we opined that data should be managed in a manner that can persuade the trust of data subjects. To achieve this, data subjects should have the rights to be informed about details of their data. Thus, this paper proposes a cloud-based data management and sharing platform to enable data subjects to control who can access their data and consent to its collection and usage based on smart contracts. The proposed system leverages blockchain to enforce accountability, provenance, and auditability of all events. We implemented a dynamic consent management prototype on top of Ethereum blockchain to demonstrate the feasibility of the proposed work.
AB - Data management is the collection, processing, storing, and sharing of data. In today's dispensation, data sharing and collaborative data processing is a necessity for multi-partner organizations as it can lead to the discovery of new insight. Shared data is generally for the purpose of marketing, advertising, and other institutional decision-making reasons. A challenge however is that the collected data (mostly about individuals known as data subjects or producers) is disseminated among organizations without meaningful consent from the data subjects. Hence, data subjects are not aware of what is happening to their data regarding use and misuse. Furthermore, data subjects can hardly determine which third-party institutions have access to their data. In this paper, we opined that data should be managed in a manner that can persuade the trust of data subjects. To achieve this, data subjects should have the rights to be informed about details of their data. Thus, this paper proposes a cloud-based data management and sharing platform to enable data subjects to control who can access their data and consent to its collection and usage based on smart contracts. The proposed system leverages blockchain to enforce accountability, provenance, and auditability of all events. We implemented a dynamic consent management prototype on top of Ethereum blockchain to demonstrate the feasibility of the proposed work.
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U2 - 10.1016/j.procs.2022.07.014
DO - 10.1016/j.procs.2022.07.014
M3 - Conference article
AN - SCOPUS:85141721305
SN - 1877-0509
VL - 203
SP - 95
EP - 102
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology, FNC/MobiSPC/SEIT 2022
Y2 - 9 August 2022 through 11 August 2022
ER -