EGQCY: A Smart Contract-Based Scientific Big Data System Approach for Incentive Sharing and Transaction on the Cost of Data Quality

EGQCY: A Smart Contract-Based Scientific Big Data System Approach for Incentive Sharing and Transaction on the Cost of Data Quality | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article EGQCY: A Smart Contract-Based Scientific Big Data System Approach for Incentive Sharing and Transaction on the Cost of Data Quality Shuyi Yang, Lusu Li, Libo Feng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3029457/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Currently, scientific big data management is generally faced with the problems of scattered data resources, inconsistent data standards, and the inability to share and circulate data safely. Research personnel attaches great importance to whether sharing the first-hand property is secure under clear ownership and whether it can contribute to the large society. The isolation of the data management system is the obvious obstacle to collecting and managing across-disciplinary data. To a large extent, sharing and trading scientific big data is the primary purpose to realize the clarity of property rights, secure data sharing, and the value of the data assets step by step. We propose to construct a public platform for scientific big data management. The system is managed to unify and authorize the on-chain data, on which data sharing and trading is tracked throughout the process. Smart contracts are executed with vital functions and guarantee price matching in data transactions. We design the incentive mechanism which measures the incentive yield of data cost quality based on evolutionary game theory and data quality control theory (EGQCY), considering how the cost of data quality performs in controlling and impacting the rational release of the incentive yields in the sharing and trading process. The experiments found that the design of incentive yield and incentive coefficients only significantly affected the transition from low-quality data to medium-quality data. Both parameters converged to fixed values as the cost of data quality increased. Scientific big data blockchain Smart Contract data sharing and transaction data incentive mechanism the cost of data quality control Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3029457","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":208982514,"identity":"2b129692-9225-49ed-b1a4-a49e31997860","order_by":0,"name":"Shuyi Yang","email":"","orcid":"","institution":"Beihang University,Yunnan Innovation Research Institute","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Shuyi","middleName":"","lastName":"Yang","suffix":""},{"id":208982515,"identity":"b761ac13-1963-4276-b22b-c4cac64e759a","order_by":1,"name":"Lusu Li","email":"","orcid":"","institution":"Yunnan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Lusu","middleName":"","lastName":"Li","suffix":""},{"id":208982516,"identity":"ee7cc830-b2e4-4c1b-8c6d-68aff8df933b","order_by":2,"name":"Libo Feng","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIiWNgGAWjYBAC9gYg8cDgAAM/hM9MWAvPASCRANQi2UCaFoYDDAYHiNbC3nv4RULBHTnjG7nHJBgqrBMb2M8ewK+F51yaRYLBM2OzG3lpEgxn0hMbePIS8Gqxl8gxM0gwOJy47UaOmQRj2+HEBgkeA/y2yL+BaNk8A6TlHzFaJHiMH4C0bJAAaWkgRgtPjhkDyC8SZ94YWyQcSzdu48khoIX9jPGHD3/uyPG35xje+FBjLdvPfga/FiBgkwBTAgmgCAJyCakHAuYPYIr/ABFqR8EoGAWjYEQCABwrRPc6v9j8AAAAAElFTkSuQmCC","orcid":"","institution":"Yunnan University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Libo","middleName":"","lastName":"Feng","suffix":""}],"badges":[],"createdAt":"2023-06-06 12:59:34","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3029457/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3029457/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":46603872,"identity":"6c8678ed-4f2c-4ae8-868c-ba806d14a2ef","added_by":"auto","created_at":"2023-11-17 05:07:31","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":671130,"visible":true,"origin":"","legend":"","description":"","filename":"EGQCY.manuscript0611.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3029457/v1_covered_9ccef8ea-c9ba-4f3a-a4c6-794ea0610dd4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"EGQCY: A Smart Contract-Based Scientific Big Data System Approach for Incentive Sharing and Transaction on the Cost of Data Quality","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Scientific big data, blockchain, Smart Contract, data sharing and transaction, data incentive mechanism, the cost of data quality control","lastPublishedDoi":"10.21203/rs.3.rs-3029457/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3029457/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCurrently, scientific big data management is generally faced with the problems of scattered data resources, inconsistent data standards, and the inability to share and circulate data safely. 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We design the incentive mechanism which measures the incentive yield of data cost quality based on evolutionary game theory and data quality control theory (EGQCY), considering how the cost of data quality performs in controlling and impacting the rational release of the incentive yields in the sharing and trading process. The experiments found that the design of incentive yield and incentive coefficients only significantly affected the transition from low-quality data to medium-quality data. 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