Neuroscience Data Integration through Mediation: An (F)BIRN Case Study.
Neuroscience Data Integration through Mediation: An (F)BIRN Case Study.
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DOI：
10.3389/fninf.2010.00118
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发表时间：
2010
影响因子：
3.5
通讯作者：
Turner JA
中科院分区：
文献类型：
--
作者：
Ashish N;Ambite JL;Muslea M;Turner JA
我们描述了一个应用程序的BIRN调解人的神经科学实验数据源的整合。BIRN中介是一个通用的解决方案，提供集成的，语义一致的访问来自多个，分布式，异构数据源的生物医学数据的问题。该系统遵循中介方法，其中数据保留在源中，提供者维护对数据的控制，并且集成系统响应于客户机查询实时地从源检索数据。本文的目的是说明如何通过使用我们的通用中介技术，以原则性的方式快速开发特定于领域的数据集成应用程序。我们详细描述了两个领先的，但根本不同的，实验神经科学的来源，即人类成像数据库，关系数据库，和eXtensible神经成像档案工具包，XML Web服务系统的集成。我们讨论的步骤，复杂性，努力和所需的时间来构建这样的应用程序，以及正在进行的和未来的生物医学数据集成的研究方向的轮廓。
We describe an application of the BIRN mediator to the integration of neuroscience experimental data sources. The BIRN mediator is a general purpose solution to the problem of providing integrated, semantically-consistent access to biomedical data from multiple, distributed, heterogeneous data sources. The system follows the mediation approach, where the data remains at the sources, providers maintain control of the data, and the integration system retrieves data from the sources in real-time in response to client queries. Our aim with this paper is to illustrate how domain-specific data integration applications can be developed quickly and in a principled way by using our general mediation technology. We describe in detail the integration of two leading, but radically different, experimental neuroscience sources, namely, the human imaging database, a relational database, and the eXtensible neuroimaging archive toolkit, an XML web services system. We discuss the steps, sources of complexity, effort, and time required to build such applications, as well as outline directions of ongoing and future research on biomedical data integration.