USC FaceBase III Craniofacial Development and Dysmorpholoy Data Management and Integration Hub

USC FaceBase III 颅面发育和畸形数据管理和集成中心

• 批准号: 9980867
• 负责人: Yang Chai
• 金额: $ 255.45万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9980867
• 关键词: Address; Anatomy; Animal Model; Architecture; Area; Biology; Biomedical Research; Cells; Collection; Communication; Communities; Computers; Craniofacial Abnormalities; Data; Data Set; Development; Dysmorphology; Education and Outreach; Educational Materials; Ensure; FAIR principles; Face; FaceBase; Fostering; Funding; Future; Genetic; Goals; Health; Human; Image; Infrastructure; Knowledge; Lead; Link; Modeling; Molecular; National Institute of Dental and Craniofacial Research; Outcome; Phase; Process; Reproducibility; Research; Research Design; Research Personnel; Research Support; Resources; Retrieval; Scientist; Study models; Training; Training Activity; Translating; Visualization; base; craniofacial; craniofacial development; data curation; data hub; data integration; data management; data resource; data sharing; data submission; data warehouse; design; experience; experimental study; heterogenous data; high standard; human data; human model; improved; innovation; large datasets; next generation; operation; outreach; posters; quality assurance; tool; training opportunity; usability; user-friendly

PROJECT SUMMARY The major goal of the FaceBase Consortium is to advance research by creating comprehensive datasets of craniofacial development and dysmorphologies, and to disseminate these datasets to the wider craniofacial research community. The FaceBase 3 Data Management and Integration Hub builds on the existing and successful scientific and technical team that has lead the development, deployment, operation and community engagement of the FaceBase 2 data hub. Looking forward to the future impact of the FaceBase Consortium, we face major challenges that include: (1) how to annotate large datasets to empower the biomedical research community; (2) how to improve data integration and facilitate data search and retrieval from the hub; (3) how to use the data from FaceBase to design studies and otherwise inform our future research; and (4) how to translate our knowledge from animal model studies to improve human craniofacial health. Importantly, the projects we propose here are designed to address these issues as we develop anatomy-based comprehensive data search and display, incorporate additional datasets from the community, and promote the usage of FaceBase data. In pursuit of these goals, we propose the following three Specific Aims: Specific Aim 1: Create a FAIR data repository and resource hub for the craniofacial research community. Specific Aim 2: Promote and enable data contributions to FaceBase by NIDCR-supported researchers. Specific Aim 3: Foster a community of active FaceBase users through outreach activities and dissemination of new features and available datasets. We will create educational materials and provide training opportunities for the next generation of craniofacial researchers. Ultimately, our proposed projects will not only contribute to our comprehensive understanding of the molecular regulatory mechanisms of craniofacial development but will also demonstrate how others can use the datasets from the FaceBase Hub to develop innovative approaches to improve human health.

项目摘要 FaceBase Consortium的主要目标是通过创建全面的数据集来推进研究， 颅面发育和畸形，并将这些数据集传播到更广泛的颅面 研究社区。FaceBase 3数据管理和集成中心建立在现有的 成功的科学和技术团队，领导了开发，部署，运营和社区 FaceBase 2数据中心展望FaceBase联盟未来的影响，我们 面临的主要挑战包括：（1）如何标注大型数据集以增强生物医学研究的能力 （2）如何改善数据整合，并促进从中心搜索和检索数据;（3）如何 使用FaceBase的数据来设计研究，并为我们未来的研究提供信息;（4）如何翻译 我们从动物模型研究中获得的知识来改善人类颅面健康。重要的是，我们的项目 在我们开发基于解剖学的综合数据搜索时，这里的建议旨在解决这些问题 和显示，整合社区的其他数据集，并促进FaceBase数据的使用。在 为了追求这些目标，我们提出了以下三个具体目标：具体目标1：创建FAIR数据 颅面研究社区的知识库和资源中心。具体目标2：促进和启用数据 NIDCR支持的研究人员对FaceBase的贡献。具体目标3：培养一个积极的社区 通过外联活动和传播新功能和现有数据集，向FaceBase用户提供信息。我们将 创建教育材料，并为下一代颅面提供培训机会 研究人员最终，我们建议的项目不仅有助于我们全面了解 颅面发育的分子调控机制，但也将展示其他人如何使用 FaceBase Hub的数据集，以开发创新方法来改善人类健康。