Verification and Validation for data marketplaces via a blockchain and smart contracts
作者机构:The Bartlett University College LondonWC1E 6BTLondonUnited Kingdom
出 版 物:《Blockchain(Research and Applications)》 (区块链研究(英文))
年 卷 期:2022年第3卷第4期
页 面:91-108页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)]
基 金:Resilience Partners Ltd University of Newcastle Smart City University College London, UCL
主 题:Data marketplace Project information model Smart cities Smart buildings Real estate Distributed ledger technology Blockchain Smart contracts Artificial intelligence
摘 要:Actual challenges with data in physical infrastructure include:1)the adversity of its velocity based on access and retrieval,thus integration;2)its value as its intrinsic quality;3)its extensive volume with a limited variety in terms of systems;and finally,4)its veracity,as data can be modified to obtain an economical *** infrastructure design based on Agile project management and minimum viable products provides benefits against the traditional waterfall *** supports an early return on investment that promotes circular reinvesting while making the product more adaptable to variable social-economical ***,Agile also presents inherent issues due to its iterative ***,project information requires an efficient record of the aims,requirements,and governance not only for the investors,owners,or users but also to keep evidence in future health&safety and other statutory *** order to address these issues,this article presents a Validation and Verification(V&V)model for data marketplaces with a hierarchical process;each data V&V stage provides a layer of data abstraction,value-added services,and authenticity based on Artificial Intelligence(AI).In addition,this proposed solution applies Distributed Ledger Technology(DLT)for a decentralised approach where each user keeps and maintains the data within a *** presented model is validated in real data marketplace applications:1)live data for the Newcastle Urban Observatory Smart City Project,where data are collected from sensors embedded within the smart city via APIs;2)static data for University College London(UCL)—Real Estate—PEARL Project,where different project users and stakeholders introduce data into a Project Information Model(PIM).