文章基本信息

标题：Authorization Framework for Medical Data
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作者：Geetha Madadevaiah ; RV Prasad ; Amogh Hiremath 等
期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2019
卷号：11
期号：2/3
页码：7-22
DOI：10.5121/ijdms.2019.11302
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, the authors describe an approach for sharing sensitive medical data with the consent of the data owner. The framework builds on the advantages of the Semantic Web technologies and makes it secure and robust for sharing sensitive information in a controlled environment. The framework uses a combination of Role-Based and Rule-Based Access Policies to provide security to a medical data repository as per the FAIR guidelines. A lightweight ontologywas developed, to collect consent from the users indicating which part of their data they want to share with another user having a particular role. Here, the authors have considered the scenario of sharing the medical data by the owner of data, say the patient, with relevant persons such as physicians, researchers, pharmacist, etc. To prove this concept, the authors developed a prototype and validated using the Sesame OpenRDF Workbench with 202,908 triples and a consent graph stating consents per patient.
关键词：Access Policies; Semantic Web; RDF/SPARQL; Role Based; Rule Based; FAIR; Consent