Technology against COVID-19 A Blockchain-based framework for Data Quality

Imane Ezzine, Laila Benhlima
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引用次数: 3

Abstract

The effects of COVID-19 have quickly spread around the world, testing the limits of the population and the public health sector. High demand on medical services are offset by disruptions in daily operations as hospitals struggle to function in the face of overcapacity, understaffing and information gaps. Faced with these problems, new technologies are being deployed to fight this pandemic and help medical staff governments to reduce its spread. Among these technologies, we find blockchains and Big Data which have been used in tracking, prediction applications and others. However, despite the help that these new technologies have provided, they remain limited if the data with which they are fed are not of good quality. In this paper, we highlight some benefits of using BIG Data and Blockchain to deal with this pandemic and some data quality issues that still present challenges to decision making. Finally we present a general Blockchain-based framework for data governance that aims to ensure a high level of data trust, security, and privacy.
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基于区块链的数据质量框架
COVID-19的影响迅速蔓延到世界各地,考验着人口和公共卫生部门的极限。对医疗服务的高需求被日常运营中断所抵消,因为医院在产能过剩、人手不足和信息缺口的情况下难以正常运作。面对这些问题,人们正在部署新技术来对抗这一流行病,并帮助医务人员政府减少其传播。在这些技术中,我们发现区块链和大数据已用于跟踪,预测应用等。然而,尽管这些新技术提供了帮助,但如果提供给它们的数据质量不高,它们仍然是有限的。在本文中,我们强调了使用大数据和区块链来应对这种流行病的一些好处,以及一些仍然对决策构成挑战的数据质量问题。最后,我们提出了一个通用的基于区块链的数据治理框架,旨在确保高水平的数据信任、安全和隐私。
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