DATABASES AND DATA MODELS ENABLING NEUROINFORMATICS

描述（申请人的摘要）：一个持续的项目目标是提高我们的 脑神经生理学的网络数据库，包含以下描述 躯体感觉皮层神经元和特征性神经生理数据 封装了这些神经元对所描述的刺激的反应。所得 加强数据传播和研究协调将有助于 保护珍贵的非人类灵长类动物。 两个新出现的目标概括和扩展了这项工作。数据库结构、范围、 和工具将得到扩展，以允许更广泛的社区使用， 神经科学家的存储，分类，查询和分配 来自许多物种和技术的神经生理学数据。调解 与人脑项目的其他努力之间的互操作性， 神经科学数据库资源一般，我们提炼并提出了一个共同的数据 神经科学数据交换模型。 前两个具体目标是增强和扩展两个神经生理学数据库 项目提供存储和交换，如果时间序列，直方图和其他 数据集和可搜索的受控词汇表元数据， 准备、协议和神经元。这些目标继续提供方法， 使用微电极的任何神经生理学团体的用户互操作性 技术：确保我们所有的用户平等地访问我们的数据和工具， 独立于计算机平台、专业知识或软件。第三和第四 具体目标提供了通用数据模型（CDM）作为框架， Federation.在第三个目标中，CDM通过构建 五个定义超类中的每一个的子类型来跨越神经科学数据。的 第四个目标是开发数据描述语言、技术和标准 促进任何神经科学数据资源的互操作性。而不是 保持独特的神经科学和信息学成分，该项目融合 每个目标都代表一个统一的神经信息学实体。

DESCRIPTION (Applicant's Abstract): A continuing project goal is to enhance our networked database of brain neurophysiology, containing descriptions of somatosensory cortical neurons and characteristic neurophysiological data encapsulating these neurons' responses to described stimuli. The resulting enhanced dissemination of data and coordination of studies will aid conservation of valuable nonhuman primates. Two emerging goals generalize and extend this work. Database structures, scope, and tools will be extended to permit their use by a broader community of neuroscientists for the storage, classification, query, and distribution of neurophysiological data from many species and techniques. To mediate interoperability among other endeavors of the Human Brain Project and neuroscience database resources in general, we refine and propose a Common Data Model for neuroscience data interchange. The first two specific aims enhance and extend two neurophysiology database projects providing storage and exchange if time series, histogram and other datasets, and searchable controlled-vocabulary metadata describing preparations, protocols, and neurons. These aims continue methodology providing user interoperability for any neurophysiology community using microelectrode techniques: ensuring all of our user equal access to our data and tools, independent of computer platform, expertise, or software. The third and fourth specific aims provide the Common Data Model (CDM) as a framework for federation. In the third aim, CDM enhances data exchange by constructing subtypes of each of five defining superclasses to span neuroscience data. The fourth aim develops a data description language, techniques, and standard facilitating interoperability for any neuroscience data resource. Rather than maintaining distinct neuroscience and informatics components, the project fuses these so that each Aim represents a unified neuroinformatics entity.