Metadata based management and sharing of distributed biomedical data.

Q2 Social Sciences
Fusheng Wang, Cristobal Vergara-Niedermayr, Peiya Liu
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引用次数: 9

Abstract

Biomedical research data sharing is becoming increasingly important for researchers to reuse experiments, pool expertise and validate approaches. However, there are many hurdles for data sharing, including the unwillingness to share, lack of flexible data model for providing context information, difficulty to share syntactically and semantically consistent data across distributed institutions, and high cost to provide tools to share the data. SciPort is a web-based collaborative biomedical data sharing platform to support data sharing across distributed organisations. SciPort provides a generic metadata model to flexibly customise and organise the data. To enable convenient data sharing, SciPort provides a central server based data sharing architecture with a one-click data sharing from a local server. To enable consistency, SciPort provides collaborative distributed schema management across distributed sites. To enable semantic consistency, SciPort provides semantic tagging through controlled vocabularies. SciPort is lightweight and can be easily deployed for building data sharing communities.

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基于元数据的分布式生物医学数据管理和共享。
生物医学研究数据共享对于研究人员重用实验、汇集专业知识和验证方法变得越来越重要。然而,数据共享存在许多障碍,包括不愿意共享,缺乏灵活的数据模型来提供上下文信息,难以跨分布式机构共享语法和语义一致的数据,以及提供共享数据的工具的高成本。SciPort是一个基于网络的协同生物医学数据共享平台,支持跨分布式组织的数据共享。SciPort提供了一个通用的元数据模型来灵活地定制和组织数据。为了方便数据共享,SciPort提供了基于中央服务器的数据共享架构,一键式共享本地服务器上的数据。为了实现一致性,SciPort提供跨分布式站点的协作分布式模式管理。为了实现语义一致性,SciPort通过受控词汇表提供语义标记。SciPort是轻量级的,可以很容易地部署用于构建数据共享社区。
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来源期刊
International Journal of Metadata, Semantics and Ontologies
International Journal of Metadata, Semantics and Ontologies Social Sciences-Library and Information Sciences
CiteScore
1.50
自引率
0.00%
发文量
0
期刊介绍: IJMSO aims at publishing research advances and discussions about meta-data in a broad sense, and about their associated semantics and ontological structures, from a multi-disciplinary perspective, and with an emphasis on domain-specific ontologies and organisational, human interaction and social issues regarding metadata annotation, use and assessment. It also intends covering Semantic Web research, as a concrete metadata-intensive technological framework in which shared and standardised semantics are a critical issue.
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