Data Science Core

数据科学核心

• 批准号: 10693164
• 负责人: Guoqiang Yu
• 金额: $ 29万
• 依托单位: SALK INSTITUTE FOR BIOLOGICAL STUDIES
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10693164
• 关键词: 3-Dimensional; Anatomy; Architecture; Area; Astrocytes; Atlases; Automobile Driving; Behavior; Brain; ChIP-seq; Communities; Consumption; Coupled; Data; Data Analyses; Data Files; Data Science Core; Data Set; Electron Microscopy; Ensure; Gene Expression; Genes; Genetic Transcription; Goals; Image; Imaging Device; Individual; Infrastructure; Internet; Light; Maps; Measurement; Metadata; Methods; Microscopy; Modeling; Online Systems; Pattern; Positioning Attribute; Proteomics; Protocols documentation; Research Personnel; Research Project Grants; Services; Specific qualifier value; Structure; System; Techniques; Visualization; Visualization software; animal data; computerized tools; data analysis pipeline; data dissemination; data format; data repository; data sharing; data sharing networks; data visualization; design; digital; digital object identifier; light microscopy; member; multiple data types; neural circuit; neuronal circuitry; open source; operation; tool; transcription factor; transcriptome sequencing; ultra high resolution; user-friendly; web based interface; web based software; web portal; web-based tool

Project Summary: Data Science Core The main purposes of the Data Science Resource Core are to collect, manage and distribute experimental data, to visualize the analyzed results such as structure and activity, and to provide an interface for users to use our designed methods on both imaging data and omics data. This digital infrastructure will be implemented in the form of a multi-tier services-oriented architecture. The products of the other Research Projects will be collected via protocols that are amenable to a digital representation. These will then be unified via spatial registration in a common coordinate system. Ensuring that the data have appropriate landmarks and that measurements of the spatial extent of key images is a core operation for this endeavor. With data whose content is appropriate for unification, it will subsequently be determined which digital format representation is most suitable for each data type, with the goal of making them easy to present in an online interface for the consumption of the broader scientific community. Data files with the appropriate format will be made available on the public internet. From here, a user- friendly web-based interface will be designed and implemented on top of a platform for astrocytic data visualization, that itself reuses best-in-class open-source visualization software for the web. The interface will ensure that users can easily navigate between individual data sets and also can visualize relationships between data sets across the domains from the other Research Projects. The interface will enable the user to explore imaging data of astrocytes collected at different positions of the brain, as well as the omics expression pattern at the corresponding area. The interface will also provide the visualization of the astrocyte network. To encourage broad sharing of the data resources produced, high quality metadata will be created to include with the data that conveys its provenance. Data products will be enabled to have their own digital object identifiers (DOIs), incorporate compatibility with ORCID ids, and embed RRIDs into the system as necessary. Core data products will further be shared through key federally supported data sharing resources and by applying best practices to data format and dissemination techniques used. The data analysis method will also be made available for users as web-based computational services for users to analyze their own data.

项目摘要：数据科学核心 数据科学资源核心的主要目的是收集，管理和分发 实验数据，可视化分析结果，例如结构和活动，以及 为用户提供一个接口，以在成像数据和OMICS上使用我们的设计方法 数据。该数字基础架构将以多层服务的形式实施 建筑学。其他研究项目的产品将通过协议收集 适合数字表示。然后将通过空间注册统一这些 公共坐标系。确保数据具有适当的地标，并且 关键图像的空间范围的测量是这项工作的核心操作。和 其内容适合统一的数据，随后将确定哪个数字 格式表示最适合每种数据类型，目的是使其易于 在在线界面中存在，用于消费更广泛的科学界。数据文件 使用适当的格式将在公共互联网上提供。从这里，用户 - 友好的基于Web的界面将在平台上设计和实现 星形胶质细胞数据可视化，本身可以重用一流的开源可视化软件 对于网络。界面将确保用户可以轻松地在各个数据之间导航 集合，还可以可视化其他域之间的数据集之间的关系 研究项目。该界面将使用户能够探索星形胶质细胞的成像数据 收集在大脑的不同位置，以及在 相应的区域。该界面还将提供星形胶质细胞网络的可视化。到 鼓励广泛分享生产的数据资源，将创建高质量的元数据 包括传达其出处的数据。数据产品将被启用 自己的数字对象标识符（DOIS），将兼容性与OrcID ID合并，并嵌入 必要时进入系统。核心数据产品将通过密钥进一步共享 联邦支持的数据共享资源，并通过将最佳实践应用于数据格式和 使用的传播技术。数据分析方法也将为用户提供 作为基于Web的计算服务供用户分析自己的数据。