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

神经影像数据模型：大脑主动成像实验的 FAIR 描述符

• 批准号: 9795124
• 负责人: David Bryant Keator
• 金额: $ 94.4万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-25 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9795124
• 关键词: Adopted; Adoption; Advanced Development; Architecture; Archives; BRAIN initiative; Characteristics; Clinical; Communities; Computer software; Data; Data Provenance; Data Set; Descriptor; Development; Educational workshop; Event; Experimental Designs; FAIR principles; Feedback; Fostering; Funding; Gold; Image; International; Link; Metadata; Methods; Modeling; Neurosciences; Phenotype; Prevention; Process; Public Health; Publications; Readability; Reproducibility; Research; Research Personnel; Resources; Scientist; Services; Site; Source; Strategic Planning; Techniques; Technology; Terminology; Training; United States National Institutes of Health; Vision; Work; application programming interface; base; computer based Semantic Analysis; data integration; data modeling; data resource; design; experience; experimental study; hackathon; improved; information organization; interoperability; learning materials; meetings; member; neuroimaging; neuroinformatics; outreach; prototype; success; support tools; symposium; tool

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.

项目总结/文摘