Verification and Validation for data marketplaces via a blockchain and smart contracts

作     者：Will Serrano 

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).