Data Science Core

数据科学核心

• 批准号: 9815386
• 负责人: Tatyana O. SHARPEE
• 金额: $ 31.95万
• 依托单位: SALK INSTITUTE FOR BIOLOGICAL STUDIES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9815386
• 关键词: 3-Dimensional; Anatomy; Architecture; Atlases; Behavior; Cells; Cervical; Cervical spinal cord structure; Cervical spine; Communities; Consumption; Coupled; Data; Data Files; Data Science; Data Set; Dimensions; Elbow; Electrophysiology (science); Ensure; Forelimb; Foundations; Gene Expression; Genetic; Goals; Image; Imagery; Individual; Industry Standard; Information Dissemination; Infrastructure; Internet; Interneurons; Joints; Kinetics; Label; Limb structure; Maps; Measurement; Measures; Mechanics; Metadata; Modeling; Molecular; Motor; Motor Activity; Motor Neurons; Movement; Mus; Muscle; Musculoskeletal; Neurons; Neurosciences; Physiological; Positioning Attribute; Protocols documentation; Research Project Grants; Resource Sharing; Resources; Services; Side; Spinal; System; Techniques; Thoracic spinal cord structure; Viral; Visualization software; Work; Wrist; base; cloud storage; data format; data science resource; data sharing; data visualization; design; digital; digital object identifier; experimental study; in vivo; kinematics; limb movement; member; models and simulation; multimodality; open source; operation; optogenetics; recruit; single-cell RNA sequencing; tool; transcriptome sequencing; user-friendly; web based interface

Project Summary: Data Science Resource Core The central purpose of the Data Science Resource Core is to construct and implement digital infrastructure that can warehouse, integrate, visualize, and allow interaction with the data products of the three specific aims. This digital infrastructure will be implemented in the form of a multi-tier services-oriented architecture, reusing an open source neuroscience data sharing platform. Where possible, industry standard third party tools and services will be leveraged as a foundation for our work, to avoid rebuilding any components that are already well designed and easy to use. The products of the other Research Projects will be collected via protocols that are amenable to 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 are appropriate for unification, it will subsequently be determined which digital format representation is most appropriate 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 cloud storage on the public internet. From here, a user-friendly web-based interface will be designed and implemented on top of a platform for neuroscience 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 data collected about the major interneuron classes, as well as neurons in the major motor pools via mouse click. To encourage broad sharing of the data resources we produce, 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.

项目摘要：数据科学资源核心 数据科学资源核心的中心目的是建设和实施数字基础设施 它可以存储、集成、可视化并允许与三个特定目标的数据产品进行交互。 这个数字基础设施将以多层面向服务的体系结构的形式实施，重用 一个开源的神经科学数据共享平台。在可能的情况下，行业标准第三方工具和 服务将被用作我们工作的基础，以避免重新构建任何已经 设计精良，使用方便。其他研究项目的产品将通过以下协议收集 是服从数字表示的。然后，这些将通过在公共 坐标系。确保数据具有适当的地标，并确保空间测量 关键图像的范围是这一努力的核心操作。使用其内容适合以下内容的数据 统一后，随后将确定哪种数字格式表示最适合每一种 数据类型，目的是使它们易于在联机界面中呈现，以供 更广泛的科学界。具有适当格式的数据文件将在云存储上提供 公共互联网。在此基础上，将设计并实现一个基于Web的用户友好界面 一个神经科学数据可视化平台，它本身重用了同类最好的开源可视化 网络软件。该界面将确保用户可以轻松地在各个数据集之间导航，并 还可以可视化来自其他研究项目的跨域数据集之间的关系。这个 界面将使用户能够浏览收集到的有关主要中间神经元类别以及神经元的数据 在主要的机动车辆池中通过鼠标点击。为了鼓励广泛共享我们生产的数据资源，高 将创建高质量的元数据，以包括在传达其出处的数据中。数据产品将是 使其能够拥有自己的数字对象标识符(DOI)，与ORCID ID兼容，并嵌入 必要时将RRID输入系统。核心数据产品将通过联邦支持的关键产品进一步共享 数据共享资源，并将最佳做法应用于所使用的数据格式和传播技术。