Interoperability across neuroscience databases.
Interoperability across neuroscience databases.
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DOI：
10.1007/978-1-59745-520-6_2
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发表时间：
2007-01-01
期刊：
影响因子：
--
通讯作者：
Gupta, Amarnath
中科院分区：
文献类型：
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作者：
Marenco, Luis;Nadkarni, Prakash;Gupta, Amarnath
定义良好的域之间的数据互操作性目前通过利用Web服务来实现。在生物科学中，更具体地在神经科学中，由于数据异质性、连续的域变化和新语义数据模型的不断创建，更难以实现鲁棒的数据互操作性（Nadkarni等人，J Am Med Inform Asphalt 6，478-93，1999;米勒等人，J Am Med Inform Asphalt 8，34-48，2001; Gardner等人，J Am Med Inform Asphalt 8，17-33，2001）。神经科学中的数据异质性主要是由于其多学科性质。这导致迫切需要整合所有可用的神经科学信息，以提高我们对大脑的理解。与诸如人脑计划（HBP）（Koslow and Huerta，Neuroinformatics：An Overview of the Human Brain Project，1997）、生物信息学研究网络（BIRN）和神经信息学信息框架（NIF）等神经科学倡议相关的研究人员正在探索允许这些不断发展的神经科学数据库之间的鲁棒互操作性的机制。为了实现这一目标，关键是要协调数据库中介、元数据存储库、语义元数据注释和本体服务等技术。本章介绍了数据库互操作性在神经科学中的重要性。我们还描述了目前的数据共享和集成机制一般。最后，我们在生物科学的数据集成和神经科学数据共享的方法。
Data interoperability between well-defined domains is currently performed by leveraging Web services. In the biosciences, more specifically in neuroscience, robust data interoperability is more difficult to achieve due to data heterogeneity, continuous domain changes, and the constant creation of new semantic data models (Nadkarni et al., J Am Med Inform Assoc 6, 478-93, 1999; Miller et al., J Am Med Inform Assoc 8, 34-48, 2001; Gardner et al., J Am Med Inform Assoc 8, 17-33, 2001). Data heterogeneity in neurosciences is primarily due to its multidisciplinary nature. This results in a compelling need to integrate all available neuroscience information to improve our understanding of the brain. Researchers associated with neuroscience initiatives such as the human brain project (HBP) (Koslow and Huerta, Neuroinformatics: An Overview of the Human Brain Project, 1997), the Bioinformatics Research Network (BIRN), and the Neuroinformatics Information Framework (NIF) are exploring mechanisms to allow robust interoperability between these continuously evolving neuroscience databases. To accomplish this goal, it is crucial to orchestrate technologies such as database mediators, metadata repositories, semantic metadata annotations, and ontological services. This chapter introduces the importance of database interoperability in neurosciences. We also describe current data sharing and integration mechanisms in genera. We conclude with data integration in bioscience and present approaches on neuroscience data sharing.