课题基金 / 基金详情

Databases and Data Models Enabling Neuroinformatics

Databases and Data Models Enabling Neuroinformatics
支持神经信息学的数据库和数据模型
批准号:
7127161
负责人:
DANIEL GARDNER
金额:
$46.28万
依托单位国家:
美国
项目类别:
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-09-15 至 2010-06-30

项目摘要

项目成果

DANIEL GARDNER的其他基金

相关文献

中文摘要
翻译
描述(由申请人提供):神经科学包括广泛的假设,探索,技术和模型;神经科学家是一个多元化的群体,在许多学科中扎根。 神经科学数据的范围和范围越来越复杂,以数字方式获取和分析数据的实验室数量不断增加。 因此,对神经科学家能够交换数据的需求是显着的,并且正在增长。 该项目将增强和扩展以神经生理学为重点的数据库,以及跨越当代大脑和信息科学的数据交换和互操作性标准。 三个开放的可访问的网络资源将支持神经生理学数据的共享,并为人脑计划(HBP)的互操作性提供技术:neurodatabase.org,brainml.org,和hasharing.net。 这个正在进行的项目的五个相互关联的目标融合神经科学和信息学,以开发HBP领域的计划利益,包括:“数据库,图形界面,查询方法,信息检索,数据可视化和操纵,以及通过开发综合分析工具,合成和电子协作工具进行数据集成。“目标I和II增强和扩展neurodatabase.org及其用户友好的多平台查询,查看器,元数据和数据输入工具,以帮助数据交换和重新分析来自其他哺乳动物大脑区域和制剂的数据,以及来自遗传改变的模型系统,将神经信息学与生物信息学元数据联系起来。 为了实现互操作性,目标III和IV将增强和扩展BrainML,这是该项目设计的可扩展标准化数据描述语言,作为神经科学数据库之间以及数据库与用户之间的接口。 在完成BrainMetaL抽象和BrainML神经生理学和皮层数据的多层语言定义,并展示与同行资源的链接后,该项目将整合项目设计和兼容的社区衍生扩展,支持广泛的神经生物学技术和准备。 第五个目标利用这项工作来开发,提供和支持两个资源,使神经信息学开发人员能够为神经科学的其他领域提供互补的,可互操作的数据共享。 神经数据库构建工具包将帮助其他神经科学社区更快地设计和实现神经数据库。 BrainML-X将使HBP小组能够构建接口、查询服务器和分发器以及中介,以实现神经信息资源之间的互操作性。
英文摘要
DESCRIPTION (provided by applicant): Neuroscience encompasses a broad range of hypotheses, explorations, technologies, and models; neuroscientists are a diverse group with grounding in many disciplines. The scope and range of neuroscience data is ever more complex, and the number of laboratories acquiring and analyzing data digitally continues to increase. As a result, the need for neuroscientists to be able to exchange data is significant and growing. The project will enhance and expand databases focused on neurophysiology, as well as standards for data exchange and interoperability that span contemporary brain and informational sciences. Three open accessible Web resources will support sharing of neurophysiology data and present techniques for Human Brain Project (HBP) interoperability: neurodatabase.org, brainml.org, and datasharing.net. The five linked Aims of this ongoing project fuse neuroscience and informatics to develop HBP areas of programmatic interest including: "databases, graphical interfaces, querying approaches, information retrieval, data visualization and manipulation, and data integration through the development of integrated analytical tools, synthesis, and tools for electronic collaboration." Aims I and II enhance and expand neurodatabase.org and its user-friendly multiplatform query, viewer, metadata, and data entry tools to aid data exchange and reanalysis for data from additional mammalian brain regions and preparations, and from genetically-altered model systems, linking neuroinformatic with bioinformatic metadata. Towards interoperability, Aims III and IV will enhance and expand BrainML, the extensible standardized data description language designed by the project to serve as an interface among neuroscience databases and between databases and their users. After completing BrainMetaL abstractions and BrainML multilayered language definitions for neurophysiology and cortical data, and demonstrating links to peer resources, the project will integrate project-designed and compatible community-derived extensions supporting a wide range of neurobiological techniques and preparations. The fifth Aim leverages this work to develop, offer and support two resources to enable neuroinformatics developers to provide complementary, interoperable data sharing for other areas of neuroscience. The Neurodatabase Construction Kit will aid other neuroscience communities to more rapidly design and implement neurodatabases. BrainML-X will enable HBP groups to build interfaces, query servers and distributors, and mediators to implement interoperability among neuroinformatic resources
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
NEUROSCIENCE INFORMATION FRAMEWORK
  • 批准号:
    7543159
  • 项目类别:
  • 资助金额:
    $123.63万
  • 财政年份:
    2005
  • 负责人:
    DANIEL GARDNER
  • 依托单位:
    --
Algorithms and Informatics for Analysis of Neural Coding
Algorithms and Informatics for Analysis of Neural Coding
Algorithms and Informatics for Analysis of Neural Coding