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 内布拉斯加州综合生物分子通信中心（CIBC）将进行的研究 调查人员将导致创建大型，复杂的数据集，特别是对于那些患有的研究人员 宏基因组学，代谢组学和蛋白质组学的项目。适当的实验设计，数据生成和 随后对这些数据集的分析将需要分析和计算专业知识，访问科学 设备和相关的技术专长以及大容量，高速计算设施。协调 对于单个实验室而言，获得此类服务通常是高昂的且不直觉的。另一个障碍 许多生物医学研究人员（包括与CIBC相关的研究人员）面对的是及时的 与合作者，利益相关者以及 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 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， 高通量生物/化学数据的专业知识，从多类数据管理到综合统计 分析。 DMAC将通过四个特定目的为CIBC调查人员提供服务：1）设计和实施 数据管理的计算平台 - 包括适当的文档，长期备份和 基本数据分析 - CIBC研究人员进行的实验室实验； 2）建立一个过程 与DMAC人员启动合作，以启用可能需要的复杂的跨学科项目 实验设计，统计方法和解释方面的专业知识； 3）在 CIBC的研究通过作为研究中心项目的研究合作者做出贡献。 作为生物信息学的教育者的应用，作为与CIBC相关的出版物的作者，以及 调查人员就内部和外部资金提出的随后提案； 4）教育CIBC成员 关于大规模的OMICS在化学和生化研究中的作用，潜力和警告 这样的数据，以及用于OMIC数据预处理和分析的已建立的管道，并促进 CIBC项目中的此类技术。 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，重点是理解化学和 用于公共卫生应用的生化通信途径。通过DMAC，CIBC成员将 与博士学位的生物医学科学家一起获得个性化的帮助 核。 CIBC成员还将从教育机会中受益，这将有助于建立他们的知识 基于生物医学的数学，计算和分析。 DMAC将利用现有的专业知识 内布拉斯加州林肯大学，雇用需要专业知识，并与荷兰计算中心合作 现有的计算设施在林肯和奥马哈具有设施。