用 ODRL 和 DPV 扩展数据使用本体(DUO),加强健康数据共享

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2024-02-14 DOI:10.3233/sw-243583
H. Pandit, Beatriz Esteves
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引用次数: 1

摘要

全球基因组学与健康联盟(Global Alliance for Genomics and Health)是一个正在开发数据使用本体(Data Use Ontology,DUO)的国际联盟,该本体作为一种标准,为数据发现自动化和基因组学数据的负责任共享提供了机器可读代码。使用 OWL 编码的 DUO 概念只包含对其所代表的数据使用条件的文字描述,并没有明确说明预期的权限、禁令和义务--这限制了其实用性。我们探讨了如何使用开放数字权利语言(ODRL)来明确表示 DUO 概念中固有的信息,以创建政策,然后使用这些政策来表示数据集可供使用的条件、请求使用数据集的条件,并根据两者之间的兼容性匹配来生成协议。通过使用数据隐私词汇表(DPV),我们还解决了 DUO 目前在指定隐私和数据保护法律相关信息方面的局限性,DPV 支持以与司法管辖区无关的方式表达法律概念,也支持像 GDPR 这样的特定法律。我们的工作通过提供一种补充而非替代方法,支持涉及使用 DUO 的现有社会技术治理流程。为了提供支持并改进 DUO,我们介绍了如何通过概念验证演示来部署我们的系统,该演示将 ODRL 规则用于所有 DUO 概念,并通过匹配请求和数据提供来生成协议。本文中描述的所有资源可在以下网址获取:https://w3id.org/duodrl/repo。
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Enhancing Data Use Ontology (DUO) for health-data sharing by extending it with ODRL and DPV
The Global Alliance for Genomics and Health is an international consortium that is developing the Data Use Ontology (DUO) as a standard providing machine-readable codes for automation in data discovery and responsible sharing of genomics data. DUO concepts, which are encoded using OWL, only contain the textual descriptions of the conditions for data use they represent, and do not specify the intended permissions, prohibitions, and obligations explicitly – which limits their usefulness. We present an exploration of how the Open Digital Rights Language (ODRL) can be used to explicitly represent the information inherent in DUO concepts to create policies that are then used to represent conditions under which datasets are available for use, conditions in requests to use them, and to generate agreements based on a compatibility matching between the two. We also address a current limitation of DUO regarding specifying information relevant to privacy and data protection law by using the Data Privacy Vocabulary (DPV) which supports expressing legal concepts in a jurisdiction-agnostic manner as well as for specific laws like the GDPR. Our work supports the existing socio-technical governance processes involving use of DUO by providing a complementary rather than replacement approach. To support this and improve DUO, we provide a description of how our system can be deployed with a proof of concept demonstration that uses ODRL rules for all DUO concepts, and uses them to generate agreements through matching of requests to data offers. All resources described in this article are available at: https://w3id.org/duodrl/repo.
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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
期刊最新文献
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