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: 10562451
• 负责人: Yang Chai
• 金额: $ 4.68万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10562451
• 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; community engagement; craniofacial; craniofacial development; data curation; data hub; data integration; data management; data repository; data resource; data sharing; data submission; 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.

项目总结 FaceBase联盟的主要目标是通过创建全面的数据集来推进研究 头面部发育和畸形，并将这些数据集传播到更广泛的头面部 研究社区。FaceBase 3数据管理和集成中心建立在现有和 领导开发、部署、运营和社区的成功科技团队 与FaceBase 2数据中心接洽。展望FaceBase财团的未来影响，我们 面临的主要挑战包括：(1)如何标注大数据集以支持生物医学研究 社区；(2)如何改善数据集成，并促进从中心进行数据搜索和检索；(3)如何 使用FaceBase的数据来设计研究并以其他方式为我们未来的研究提供信息；以及(4)如何翻译 我们从动物模型研究中获得的知识，以改善人类的头面部健康。重要的是，我们的项目 在我们开发基于解剖学的全面数据搜索时，我们提出了以下建议，旨在解决这些问题 和显示，纳入来自社区的其他数据集，并促进FaceBase数据的使用。在……里面 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：创造公平的数据 颅面研究社区的资源库和资源中心。具体目标2：促进和支持数据 NIDCR支持的研究人员对FaceBase的贡献。具体目标3：培育一个活跃的社区 通过外联活动和传播新功能和可用的数据集，为FaceBase用户提供支持。我们会 制作教育材料，为下一代颅面外科提供培训机会 研究人员。最终，我们提出的项目不仅有助于我们全面了解 头面部发育的分子调控机制，但也将展示其他人如何使用 来自FaceBase Hub的数据集将用于开发改善人类健康的创新方法。