Data Management and Analysis Core

数据管理与分析核心

• 批准号: 9330178
• 负责人: JENNIFER L. CLARKE
• 金额: $ 40.03万
• 依托单位: UNIVERSITY OF NEBRASKA LINCOLN
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9330178
• 关键词: Address; Biochemical; Bioinformatics; Biotechnology; Chemicals; Collaborations; Communication; Communication Research; Complex; Computer Analysis; Computer Simulation; Computer software; Core Facility; Data; Data Analyses; Data Set; Data Storage and Retrieval; Databases; Development; Doctor of Philosophy; Documentation; Education; Equipment; Experimental Designs; Faculty; Fee-for-Service Plans; Fees; Funding; General Population; Generations; Goals; High Performance Computing; Human Resources; Individual; Informatics; Laboratories; Machine Learning; Metagenomics; Nature; Nebraska; Outcome; Pathway interactions; Process; Proteomics; Public Health; Publications; Research; Research Infrastructure; Research Personnel; Resources; Role; Services; Speed; Statistical Data Interpretation; Statistical Methods; Structure; Students; Systems Biology; Technical Expertise; Techniques; Time; Universities; Work; biomedical scientist; computing resources; cost; data archive; data management; data mining; data modeling; design; human disease; knowledge base; laboratory experiment; member; metabolomics; research facility; success; web portal

ABSTRACT The research to be performed by Nebraska Center for Integrated Biomolecular Communication (CIBC) investigators will result in the creation of large, complex datasets, particularly for those researchers with projects in metagenomics, metabolomics, and proteomics. Proper experimental design, data generation, and subsequent analyses of these datasets will require analytical and computational expertise, access to scientific equipment and relevant technical expertise, and large capacity, high-speed computing facilities. Coordinated access to such services is often cost prohibitive and non-intuitive for individual laboratories. Another obstacle faced by many biomedical researchers, including those affiliated with the CIBC, is the timely and comprehensive sharing of research data and research findings with collaborators, stakeholders, and the general public. To address these issues, the CIBC will support a Data Management and Analysis Core (DMAC) facility. The DMAC facility's long-term objective is to establish a critical, sustainable resource for bioinformatics and analytical support, while its near-term goal is to develop and implement hardware, software, and expertise in high-throughput bio/chemical data, from multi-type data management to integrative statistical analyses. The DMAC will serve CIBC investigators through four specific aims: 1) Design and implement a computational platform for data management - including appropriate documentation, long-term backup, and basic data analysis - for laboratory experiments conducted by CIBC investigators; 2) Establish a process for initiating collaborations with DMAC personnel to enable complex, interdisciplinary projects which may require expertise in experimental design, statistical methods, and interpretation; 3) Serve a critical, sustainable role in CIBC research by contributing as research collaborators on proposed center projects as detailed in this application, as educators in bioinformatics, as authors on publications relevant to the CIBC, and as co- investigators on subsequent proposals for both internal and external funding; and 4) Educate CIBC members about the role of large-scale omics data in chemical and biochemical research, the potential and caveats of such data, and the established pipelines for omic data preprocessing and analysis and facilitate the use of such techniques in CIBC projects. The DMAC facility will provide Center members with the resources and expertise to address inter- and transdisciplinary research questions focused on understanding chemical and biochemical communication pathways for applications in public health. Through the DMAC, CIBC members will receive individualized assistance from and in collaboration with Ph.D.-level biomedical scientists within the core. CIBC members will also benefit from educational opportunities, which will help build their knowledge base in biomedical omics, computation, and analysis. The DMAC will capitalize on existing expertise at the University of Nebraska-Lincoln, hire needed expertise, and partner with the Holland Computing Center, an existing computing facility with facilities in both Lincoln and Omaha.

抽象的 该研究将由内布拉斯加州综合生物分子通讯中心（CIBC）进行 研究人员将导致创建大型、复杂的数据集，特别是对于那些具有以下能力的研究人员： 宏基因组学、代谢组学和蛋白质组学项目。正确的实验设计、数据生成和 对这些数据集的后续分析将需要分析和计算专业知识、获取科学知识 设备和相关技术专业知识，以及大容量、高速计算设施。协调的 对于个别实验室来说，获得此类服务往往成本高昂且不直观。另一个障碍 许多生物医学研究人员，包括那些隶属于 CIBC 的研究人员，面临的问题是及时且有效的解决方案。 与合作者、利益相关者和研究人员全面共享研究数据和研究成果 广大公众。为了解决这些问题，CIBC 将支持数据管理和分析核心 （DMAC）设施。 DMAC 设施的长期目标是为以下领域建立关键的、可持续的资源： 生物信息学和分析支持，而其近期目标是开发和实施硬件、软件、 以及高通量生物/化学数据方面的专业知识，从多类型数据管理到综合统计 分析。 DMAC 将通过四个具体目标为 CIBC 调查人员提供服务：1) 设计和实施 数据管理计算平台 - 包括适当的文档、长期备份和 基本数据分析 - 用于 CIBC 研究人员进行的实验室实验； 2) 建立一个流程 启动与 DMAC 人员的合作，以实现可能需要的复杂、跨学科项目 实验设计、统计方法和解释方面的专业知识； 3) 在以下方面发挥关键、可持续的作用 CIBC 研究作为研究合作者为拟议的中心项目做出贡献，详情请参阅 应用程序，作为生物信息学教育者，作为 CIBC 相关出版物的作者，以及作为共同 后续内部和外部资助提案的调查员； 4) 教育 CIBC 会员 关于大规模组学数据在化学和生化研究中的作用、潜力和注意事项 这些数据以及组学数据预处理和分析的既定管道，并促进使用 CIBC 项目中采用了此类技术。 DMAC 设施将为中心成员提供资源和 解决跨学科研究问题的专业知识，重点是了解化学和 用于公共卫生应用的生化通讯途径。通过 DMAC，CIBC 成员将 获得博士级生物医学科学家的个性化帮助并与他们合作 核。 CIBC 会员还将受益于教育机会，这将有助于积累他们的知识 生物医学组学、计算和分析基础。 DMAC 将利用现有的专业知识 内布拉斯加大学林肯分校聘请所需的专业知识，并与荷兰计算中心合作 现有计算设施，位于林肯和奥马哈。