{"title":"Semantics-based Framework for Incentivized Research Data Sharing","authors":"Kacy Adams, D. McGuinness, O. Seneviratne","doi":"10.32473/flairs.36.133374","DOIUrl":null,"url":null,"abstract":"We present a framework for incentivized research data sharing using an ontology called the Data Sharing Ontology (DSO). The DSO captures the semantics of academic research data sharing and provides an operational specification for data sharing between researchers. The DSO includes a two-part incentive mechanism to confirm citations and reward reproducible research methods. The proposed solution is demonstrated using a dataset-sharing decentralized application use case. The paper's contributions provide a scalable technique for creating, curating, publishing, and consuming web-based, structured, and reusable datasets, including semantically annotated knowledge graphs.","PeriodicalId":302103,"journal":{"name":"The International FLAIRS Conference Proceedings","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International FLAIRS Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32473/flairs.36.133374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present a framework for incentivized research data sharing using an ontology called the Data Sharing Ontology (DSO). The DSO captures the semantics of academic research data sharing and provides an operational specification for data sharing between researchers. The DSO includes a two-part incentive mechanism to confirm citations and reward reproducible research methods. The proposed solution is demonstrated using a dataset-sharing decentralized application use case. The paper's contributions provide a scalable technique for creating, curating, publishing, and consuming web-based, structured, and reusable datasets, including semantically annotated knowledge graphs.