Data Science Core

数据科学核心

• 批准号: 10461224
• 负责人: Guoqiang Yu
• 金额: $ 28.92万
• 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/10461224
• 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; Neurons; Online Systems; Pattern; Positioning Attribute; Proteomics; Protocols documentation; Research Personnel; Research Project Grants; Resolution; 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 networks; data visualization; design; digital; digital object identifier; light microscopy; member; multiple data types; neural circuit; open source; operation; tool; transcription factor; transcriptome sequencing; user-friendly; web based interface; 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，例如结构和活性，并 为用户提供一个界面，以便在成像数据和组学上使用我们设计的方法 数据。该数字基础设施将以多层面向服务的形式实施 建筑学。其他研究项目的产品将通过以下协议收集： 适合数字表示。然后，这些将通过空间配准统一 共同的坐标系。确保数据具有适当的标志并且 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，目的是使它们易于使用 存在于在线界面中，供更广泛的科学界使用。数据文件 将以适当的格式在公共互联网上提供。从这里开始，用户- 友好的基于网络的界面将在平台之上设计和实现 星形细胞数据可视化，其本身重用了一流的开源可视化软件 对于网络。该界面将确保用户可以轻松地在各个数据之间导航 集，还可以可视化跨域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 在大脑的不同位置收集，以及在该位置的组学表达模式 相应区域。该界面还将提供星形胶质细胞网络的可视化。到 鼓励广泛共享所产生的数据资源，将创建高质量的元数据 包含传达其出处的数据。数据产品将能够拥有自己的 自己的数字对象标识符 (DOI)、与 ORCID id 兼容并嵌入 根据需要将 RRID 添加到系统中。核心数据产品将通过密钥进一步共享 联邦政府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。数据分析方法也将提供给用户 作为基于网络的计算服务，供用户分析自己的数据。