BIDS-Derivatives: A data standard for derived data and models in the BRAIN Initiative

BIDS-Derivatives：BRAIN Initiative 中派生数据和模型的数据标准

• 批准号: 9411944
• 负责人: Russell A Poldrack
• 金额: $ 74.07万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9411944
• 关键词: Address; Adoption; BRAIN initiative; Base of the Brain; Behavioral; Brain imaging; Communities; Complement; Computer Simulation; Consultations; Data; Data Analyses; Databases; Development; Diffusion; Ensure; Functional Magnetic Resonance Imaging; Funding; Generic Drugs; Learning; Magnetic Resonance Imaging; Metadata; Modeling; Output; Pathway interactions; Positron-Emission Tomography; Process; Psychological reinforcement; Published Comment; Reaction Time; Reproducibility; Research; Research Personnel; Statistical Models; Time; Work; base; computational neuroscience; data modeling; data sharing; data structure; meetings; neuroimaging; portability; prototype; success; tool; usability

Project Summary/Abstract The effective sharing of data requires the development and broad adoption of standards for the organization of data and metadata. Within the field of neuroimaging, there is an emerging standard for data/metadata organization, the Brain Imaging Data Structure (BIDS), which is currently implemented for MRI and is under development for PET and MEG. This standard provides the basis for organization and sharing of raw data for a broad subset of projects funded by the BRAIN Initiative. In the present project we propose to extend and expand the BIDS framework to the description and organization of data/metadata that are derived from these raw data, which we refer to generally as derivatives. This will provide the ability for researchers to share processed data, statistical models and results, and computational modeling results in a way that ensures their usability.

项目总结/摘要 有效共享数据需要制定和广泛采用 数据和元数据的组织。在神经影像学领域， 数据/元数据组织的标准，脑成像数据结构（BIDS）， 目前用于MRI，正在开发用于PET和MEG。本标准 为组织和共享广泛的资助项目的原始数据提供了基础 由Brain Initiative发起。在本项目中，我们建议扩展和扩展BIDS 数据/元数据的描述和组织框架，这些数据/元数据来源于这些原始数据。 数据，我们通常称之为衍生品。这将使研究人员能够 共享处理后的数据、统计模型和结果以及计算建模结果， 确保其可用性。