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: 7462394
• 负责人: DANIEL GARDNER
• 金额: $ 44.14万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-15 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7462394
• 关键词: Area; Bioinformatics; Biological Models; Brain; Brain region; Collaborations; Communities; Compatible; Complement; Complex; Data; Data Analyses; Databases; Depth; Descriptor; Development; Discipline; Electronics; Facility Construction Funding Category; Genetic; Human; Imagery; Informatics; Information Retrieval; Information Technology; Java; Laboratories; Language; Lesion; Link; Mediator of activation protein; Metadata; Methods; Modeling; Modification; Motor; NIH Program Announcements; Neurobiology; Neurodatabase; Neurons; Neurosciences; Neurosciences, Other; Numbers; Peripheral; Preparation; Range; Research; Research Personnel; Resource Development; Resources; Science; Semantics; Sensory; Societies; Specific qualifier value; Spinal; Standards of Weights and Measures; Techniques; Technology; Visual; Work; analytical tool; base; biomedical informatics; computational neuroscience; data integration; data modeling; design; experience; graphical user interface; interest; interoperability; neuroinformatics; neurophysiology; peer; platform-independent; research study; syntax; tool; usability; user-friendly; web-accessible

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

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，在许多学科中都有基础。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也在不断增加。因此，对神经科学家交换数据的需求越来越大。