Data Science Core

数据科学核心

• 批准号: 10649642
• 负责人: Gal Mishne
• 金额: $ 39.43万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-16 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10649642
• 关键词: Certification; Computer software; Data; Data Science; Data Science Core; Data Set; Image; Link; Magnetism; Metadata; Neurons; Participant; Process; Publications; Research Personnel; Role; Secure; System; Time; Visualization software; computing resources; data and analysis portal; digital; neuroregulation; neurovascular; performance site; relational database; repository; two-photon; web portal

Core 2. Abstract Data Science Core The role of the Data Science Core is to maintain the digital data and to link to it all experimental results and derived information (meta-data) from all participants using a relational database. Large-scale mesoscopic imaging data, magnetic resonant imaging data, and two-photon imaging data are major part of this effort. Raw data will be hosted, backed up, and processed locally. The data is then shifted to a central repository with Globus access for additional high level processing across all performance sites. The Core serves to coordinate high-level analysis. The Core also serves to disseminate the raw and meta-data and all associated software from all studies at the time of acceptance of publications.

核心2。摘要 数据科学核心 数据科学核心的作用是维护数字数据，并将所有实验结果与之链接， 使用关系数据库从所有参与者导出信息（元数据）。大尺度介观 成像数据、磁共振成像数据和双光子成像数据是这项工作的主要部分。原 数据将在本地托管、备份和处理。然后将数据转移到中央存储库， Globus访问，用于跨所有性能站点进行额外的高级处理。核心是协调 高层次分析。核心还用于传播原始数据和元数据以及所有相关软件 在接受出版物时从所有研究中删除。