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

项目摘要/摘要 为了有效地共享数据，需要制定和广泛采用 数据和元数据的组织。在神经成像领域，有一种新兴的 数据/元数据组织标准，脑成像数据结构(BIDS)，它是 目前为MRI实施，并正在为PET和MEG开发。本标准 为广泛资助的项目提供组织和共享原始数据的基础 被大脑倡议组织。在本项目中，我们建议延长和扩大投标范围 描述和组织从这些原始数据派生的数据/元数据的框架 数据，我们通常将其称为衍生品。这将为研究人员提供以下能力 共享处理过的数据、统计模型和结果，以及计算建模结果 这种方式确保了它们的可用性。

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.