基因组学中分布式账本技术的范围综述:专题分析和未来研究方向

M. Beyene, Philipp A. Toussaint, Scott Thiebes, M. Schlesner, B. Brors, A. Sunyaev
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引用次数: 1

摘要

对分布式账本技术(DLT)和基因组学的兴趣日益浓厚,引发了各种跨学科研究流,研究DLT在基因组学中的应用的分散出版物数量激增。本文旨在揭示基因组学中DLT的研究现状、重点研究主题和未来研究方向。材料和方法我们进行了范围综述和专题分析。我们检索了Scopus、Web of Science、PubMed、ACM Digital Library、IEEE explore、arXiv、BiorXiv等60篇相关论文。结果我们的分析得出了文献中讨论的基因组学DLT的7个焦点主题,即:(1)数据经济和共享;(2)数据管理;(3)数据保护;(4)数据存储;(5)分散的数据分析;(六)有用工作证明;(7)伦理、法律和社会影响。基于确定的主题,我们提出了7个未来的研究方向:(1)研究区块链以外的DLT概念的应用机会;(2)通过基于dlt的基因数据市场,探索人们对基因数据商品化的态度和行为;(3)研究通过DLT进行联合同意管理的机会;(4)调查和评估适合DLT的数据存储模型;(5)研究DLT在医疗信息系统中的合规使用;(6)研究基于有用工作证明的替代共识机制;(7)探索支持dlt的遗传数据保护方法,确保用户隐私。结论基因组学中DLT的研究虽在不断发展,但仍存在许多未解决的问题。这篇文献综述概述了现有的研究,并为研究人员和实践者提供了未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A scoping review of distributed ledger technology in genomics: thematic analysis and directions for future research
Abstract Objective Rising interests in distributed ledger technology (DLT) and genomics have sparked various interdisciplinary research streams with a proliferating number of scattered publications investigating the application of DLT in genomics. This review aims to uncover the current state of research on DLT in genomics, in terms of focal research themes and directions for future research. Materials and Methods We conducted a scoping review and thematic analysis. To identify the 60 relevant papers, we queried Scopus, Web of Science, PubMed, ACM Digital Library, IEEE Xplore, arXiv, and BiorXiv. Results Our analysis resulted in 7 focal themes on DLT in genomics discussed in literature, namely: (1) Data economy and sharing; (2) Data management; (3) Data protection; (4) Data storage; (5) Decentralized data analysis; (6) Proof of useful work; and (7) Ethical, legal, and social implications. Discussion Based on the identified themes, we present 7 future research directions: (1) Investigate opportunities for the application of DLT concepts other than Blockchain; (2) Explore people’s attitudes and behaviors regarding the commodification of genetic data through DLT-based genetic data markets; (3) Examine opportunities for joint consent management via DLT; (4) Investigate and evaluate data storage models appropriate for DLT; (5) Research the regulation-compliant use of DLT in healthcare information systems; (6) Investigate alternative consensus mechanisms based on Proof of Useful Work; and (7) Explore DLT-enabled approaches for the protection of genetic data ensuring user privacy. Conclusion While research on DLT in genomics is currently growing, there are many unresolved problems. This literature review outlines extant research and provides future directions for researchers and practitioners.
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