DATABASES AND DATA MODELS ENABLING NEUROINFORMATICS

描述(申请人摘要)：一个持续的项目目标是增强我们的 脑神经生理学网络数据库，包含对 体感皮质神经元和特征神经生理学数据 封装了这些神经元对所描述的刺激的反应。由此产生的 加强数据传播和研究协调将有助于 保护有价值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 神经学家，用于存储、分类、查询和分发 来自许多物种和技术的神经生理学数据。调停 人脑计划和其他努力的互操作性 综合神经科学数据库资源，我们提炼并提出了一个通用数据 神经科学数据交换模型。 前两个具体目标增强和扩展了两个神经生理学数据库 提供存储和交换IF时间序列、直方图等的项目 数据集和描述以下内容的可搜索受控词汇元数据 准备、方案和神经元。这些目标继续提供方法论 使用微电极实现任何神经生理学社区的用户互操作性 技术：确保所有用户平等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。第三次和第四次 特定目标提供了通用数据模型(CDM)作为 联邦政府。在第三个目标中，CDM通过构建 五个定义超类中的每一个的亚型，以跨越神经科学数据。这个 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 该项目保持了不同的神经科学和信息学组成部分，融合了 这样每个目标就代表了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.