The Neuroimaging Data Model: FAIR descriptors of Brain Initiative Imaging Experiments

项目摘要/摘要 现有神经科学数据的再利用在一定程度上依赖于我们理解实验设计和 研究数据。从历史上看，实验的描述是在文本文档中提供的，这些文档通常是 难以搜索，缺乏数据重用所需的细节，并受到术语差异的阻碍 横跨神经科学的相关领域。我们的愿景是在现有资源的基础上创建注释和 基于可表达的元数据标准的发现工具，以提供明确的 对实验方法和元数据的描述。在这个方案中，我们开发了实验 神经影像数据模型(NIDM-E)的组成部分，这是一种元数据格式，利用了 语义网，能够准确地描述关于实验的设计和意图的信息， 实验对象的特点，以及所获得的数据。本建议书中的交付成果将创建 实现可查找、可访问、可互操作和可重用的“数据共享空间”的信息体系结构 元数据。目标由三个相互交错的部分组成：(1)推进NIDM-E的发展 通过社区参与实现标准；(2)为NIDM-E提供用户和开发人员友好的软件 文件；(3)通过全面的培训材料和社区宣传促进采用 研讨会。

Project Summary/Abstract Reuse of existing neuroscience data relies, in part, on our ability to understand the experimental design and study data. Historically, a description of the experiment is provided in textual documents, which are often difficult to search, lack the details necessary for data reuse, and are hampered by differences in terminologies across related fields of neuroscience. Our vision is to build on existing resources to create annotation and discovery tools that are based on a metadata standard expressive enough to provide unambiguous descriptions of the experimental methods and metadata. In this proposal, we develop the Experiment component of the Neuroimaging Data Model (NIDM-E), a metadata format leveraging techniques from the semantic web, capable of precisely describing information about the design and intent of an experiment, experimental subject characteristics, and the acquired data. The deliverables in this proposal will create an information architecture of a "Data Commons" to achieve Findable, Accessible, Interoperable, and Reusable metadata. The Aims consist of three interleaved components: (1) Advance the development of the NIDM-E standard through community engagement; (2) Provide user- and developer-friendly software for NIDM-E documents; (3) Foster adoption through comprehensive training materials and outreach via community workshops.