Data Science Core

数据科学核心

• 批准号: 10714953
• 负责人: W Kelley THOMAS
• 金额: $ 26.91万
• 依托单位: UNIVERSITY OF NEW HAMPSHIRE
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10714953
• 关键词: Address; Adopted; Adoption; Applications Grants; Area; Bioinformatics; Biomedical Engineering; Biomedical Research; Biometry; Businesses; Centers of Research Excellence; Client; Cloud Computing; Collaborations; Communities; Computational Biology; Core Facility; Data; Data Analyses; Data Analytics; Data Science; Data Science Core; Data Set; Deposition; Ecosystem; Educational workshop; Ensure; Experimental Designs; FAIR principles; Fee-for-Service Plans; Genome; Genomics; Infrastructure; Institution; Interdisciplinary Study; Investments; Life Cycle Stages; Methods; Modeling; Multiomic Data; New Hampshire; Phase; Recovery; Reproducibility; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Services; Source; Statistical Data Interpretation; Technology; Training; Training Programs; Universities; base; career; cloud based; computing resources; cost; cost effective; data acquisition; data infrastructure; data management; data submission; diagnostic screening; innovation; innovative technologies; instrumentation; molecular diagnostics; multidisciplinary; multiple omics; new technology; operation; programs; repository; searchable database; training opportunity; voucher

PROJECT SUMMARY (DATA SCIENCE CORE) Advancing multidisciplinary biomedical research is significantly enhanced when there is support for rigorous experimental design, analysis, and management of the increasingly vast datasets generated. The UNH COBRE: Center of Integrated Biomedical and Bioengineering Research (CIBBR) substantially advanced the biomedical research infrastructure at UNH during Phase 1 by significant CIBBR investments in state-of-the- art instrumentation, augmented by additional institutional investments in high-throughput molecular diagnostic screening and genomic sequencing capacity at the Hubbard Center for Genome Studies (HCGS). These enhanced opportunities for multidisciplinary research collaborations and scientific training opportunities in biomedical and bioengineering research catalyzed by CIBBR are now aligned with institutional commitments in Phase 2 to conduct a cluster hire of early-career and senior-level researchers focused on the areas of quantitative/computational biology and multi-omics. During Phase 1, UNH invested significant computational resources in the Research Computing Center, and together with the HCGS established effective support for bioinformatic needs. However, important gaps persist in biostatistical support services (including experimental design and implementation) as well in the management and sharing of large multi-omics datasets. The objective for the Data Science Core (DSC) is to enable researchers to adopt multi-omics technologies to enhance opportunities for rigorous, multi-disciplinary research programs by: (1) providing a comprehensive support infrastructure for data analytics throughout the entire data life cycle, thereby addressing the increasing need for statistical analysis and management of data generated by multi-omics technologies; (2) promoting the FAIR principles of data science by implementing best practices for data management and deposition; (3) creating training opportunities needed to support best practices in Data Science; and (4) implementing a business plan to ensure the long-term sustainability of the DSC infrastructure at UNH. Establishing a DSC that combines a full range of biostatistical and bioinformatics support services, management of computational resources (including support for cloud computing), and provision of training workshops will have a major positive impact for CIBBR investigators, the UNH research community, and our IDeA-state collaborators. By supporting innovative data analytics approaches necessary for multidisciplinary, multi-omics research that enhance rigor and reproducibility, the CIBBR DSC will become an indispensable core facility offering a unified and critical set of support services to advance biomedical and bioengineering research capacity at UNH.

项目总结（数据科学核心） 当有以下方面的支持时，推进多学科生物医学研究将得到显著加强： 严格的实验设计，分析和管理所产生的日益庞大的数据集。的 UNH COBRE：生物医学和生物工程综合研究中心（CIBBR）取得实质性进展 生物医学研究基础设施在UNH在第一阶段的重大CIBBR投资的国家- art仪器，通过在高通量分子诊断方面的额外机构投资来增强 哈伯德基因组研究中心（Hubbard Center for Genome Studies，HCGS）的筛查和基因组测序能力。这些 增加多学科研究合作的机会和科学培训机会， 由CIBBR催化的生物医学和生物工程研究现在与机构承诺保持一致， 第二阶段是对职业生涯早期和高级研究人员进行集群雇用，重点是以下领域 定量/计算生物学和多组学。 在第一阶段，UNH在研究计算中心投入了大量的计算资源， 与HCGS一起，为生物信息学需求提供了有效的支持。然而，仍然存在重大差距 生物统计支持服务（包括实验设计和实施）以及 管理和共享大型多组学数据集。数据科学核心（DSC）的目标是 使研究人员能够采用多组学技术，以增加严格的，多学科的 研究计划：（1）为整个数据分析提供全面的支持基础设施 整个数据生命周期，从而满足对数据统计分析和管理日益增长的需求 多组学技术产生的;（2）通过实施最佳的数据科学， 数据管理和存放的做法;（3）创造培训机会， （4）实施业务计划，以确保数据科学的长期可持续性。 UNH的DSC基础设施。 建立一个将全方位的生物统计和生物信息学支持服务相结合的数字数据中心， 管理计算资源（包括支持云计算），并提供培训 研讨会将对CIBBR调查人员，UNH研究界和我们的研究人员产生重大的积极影响。 IDEA州合作者。通过支持多学科所需的创新数据分析方法， 多组学研究，提高了严谨性和再现性，CIBBR DSC将成为不可或缺的 核心设施提供一套统一且关键的支持服务，以推进生物医学和生物工程 UNH的研究能力。