Data Aggregation, Standardization and Sharing

数据聚合、标准化和共享

• 批准号: 10639549
• 负责人: Alexandre R. Franco
• 金额: $ 17.78万
• 依托单位: NATHAN S. KLINE INSTITUTE FOR PSYCH RES
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10639549
• 关键词: Adoption; BRAIN initiative; Behavior; Behavioral; Brain; Brain imaging; Clinical; Code; Cognitive; Communities; Computer Models; Computer software; Data; Data Aggregation; Data Analyses; Data Collection; Data Set; Data Storage and Retrieval; Databases; Development; Diameter; Electroencephalography; Electrophysiology (science); Equipment; FAIR principles; Freezing; Frequencies; Functional Magnetic Resonance Imaging; Goals; Heart; Human; Institution; International; Laboratories; Magnetic Resonance Imaging; Measures; Modality; Morphologic artifacts; National Institute of Mental Health; Nature; Neurobiology; Online Systems; Physiological; Practice Guidelines; Process; Protocols documentation; Psychophysiology; Pupil; Quality Control; Reproducibility; Research; Research Personnel; Research Support; Role; Running; Scalp structure; Secure; Signal Transduction; Standardization; Structure; Time; Visual; Work; application programming interface; cloud based; computerized data processing; data archive; data dissemination; data format; data integration; data management; data quality; data sharing; data standards; data structure; design; distributed archives; experimental study; functional magnetic resonance imaging/electroencephalography; image registration; imaging system; member; multimodal data; neuroimaging; neurophysiology; nonhuman primate; open source; repository; respiratory; response; segmentation algorithm; visual tracking

ABSTRACT: This Conte Center proposal unites collaborators from 15 different institutions with the overarching goal to understand the role of slow network fluctuation in the brain. Across Center projects, experimental data will be collected on humans and non-human primates (NHP). The Data Aggregation, Standardization, and Sharing Core (DASS-C; Core C) is the component of this center through which the overall management and sharing of experimental and processed data will be conducted. Dr. Alexandre Franco will serve as the project leader of the DASS-C and will be based at the Nathan Kline Institute (NKI). We will support the research efforts within our team project, by facilitating the standardization and sharing of data across projects, member laboratories, and the scientific community at large. We will follow the FAIR (findable, accessible, interoperable, and reusable) guiding principles for scientific data management and sharing. The DASS-C will also perform quality control and minimal preprocessing of the data and support the computational needs across P1-4 and Core B (Multimodal Data Analysis & Integration Core).Thus, the overarching goal of the DASS-C is to maximize the scientific value of the data produced by the center and to minimize the difficulty in accessing it among center researchers and the scientific community. We have four Specific Aims. 1) - Guide and support the development and adoption of community data standards. 2) - Provide a data management platform to enable data aggregation and sharing across projects. 3) - Perform quality control and minimal preprocessing of data. 4) - Facilitate the dissemination of datasets and the reproducibility of analyses.

摘要：Conte 中心的这项提案将来自 15 个不同机构的合作者与总体 目标是了解大脑中缓慢网络波动的作用。跨中心项目、实验数据 将在人类和非人类灵长类动物 (NHP) 上收集。数据聚合、标准化和 共享核心（DASS-C；Core C）是该中心的组成部分，通过它进行整体管理和 将共享实验和处理数据。 Alexandre Franco 博士将担任该项目 DASS-C 的领导者，将驻扎在内森·克莱恩研究所 (NKI)。我们将支持研究工作 在我们的团队项目中，通过促进跨项目数据的标准化和共享，成员 实验室和整个科学界。我们将遵循 FAIR（可查找、可访问、可互操作、 和可重复使用）科学数据管理和共享的指导原则。 DASS-C 还将执行 质量控制和最少的数据预处理，并支持 P1-4 和 核心 B（多模式数据分析和集成核心）。因此，DASS-C 的总体目标是 最大限度地提高中心产生的数据的科学价值，并最大限度地减少获取数据的难度 中心研究人员和科学界。我们有四个具体目标。 1) - 指导和支持 社区数据标准的制定和采用。 2) - 提供数据管理平台 跨项目的数据聚合和共享。 3) - 执行质量控制和最少的数据预处理。 4) - 促进数据集的传播和分析的可重复性。