Browse by author
Lookup NU author(s): Stanly Wilson PalathingalORCiD, Kwabena Adu-DuoduORCiD, Yinhao Li, Dr Ellis SolaimanORCiD, Professor Raj Ranjan
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Effective data management is crucial to ensure the security, integrity, and efficiency of blockchain systems. This study proposes a detailed data management taxonomy specifically designed for blockchain technology. The taxonomy provides a structured framework to categorize and address various aspects of data management in blockchain networks. It covers essential aspects, such as data flow, data storage, access control, and querying. It provides a systematic approach to understanding and addressing the unique challenges associated with managing data in blockchain systems. The framework enables informed decision making, promotes effective strategies, and helps to leverage the full potential of blockchain technology.
Author(s): Wilson Stanly, Adu-Duodu Kwabena, Li Yinhao, Solaiman Ellis, Rana Omer, Dustdar Schahram, Ranjan Rajiv
Publication type: Article
Publication status: Published
Journal: IEEE Internet Computing
Year: 2024
Volume: 28
Issue: 1
Pages: 70-80
Print publication date: 16/02/2024
Acceptance date: 30/09/2023
Date deposited: 20/02/2024
ISSN (print): 1089-7801
ISSN (electronic): 1941-0131
Publisher: IEEE
URL: https://doi.org/10.1109/MIC.2023.3319152
DOI: 10.1109/MIC.2023.3319152
ePrints DOI: 10.57711/49s9-d932
Altmetrics provided by Altmetric