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

项目总结/摘要 现有神经科学数据的重复使用部分依赖于我们理解实验设计的能力， 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详细信息，并且受到术语差异的阻碍 在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， 基于元数据标准的发现工具，具有足够的表达能力，可以提供明确的 实验方法和元数据的描述。在这个建议中，我们开发了实验 神经影像数据模型（NIDM-E）的一个组成部分，一种利用 语义网，能够精确地描述有关实验设计和意图的信息， 实验对象的特点，以及所获得的数据。本建议书中的可交付成果将创建 一个“数据共享”的信息架构，以实现可查找、可扩展、可互操作和可重用 元数据.目标包括三个相互交织的组成部分：（1）推进NIDM-E的发展 通过社区参与制定标准;（2）为NIDM-E提供用户和开发人员友好的软件 文件;（3）通过综合培训材料和社区外联促进采用 工作坊.

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.