Data Management and Analysis Core

数据管理与分析核心

• 批准号: 10016362
• 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
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-15 至 2021-09-13
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10016362
• 关键词: Address; Biochemical; Bioinformatics; Biotechnology; Chemicals; Collaborations; Communication; Communication Research; Complex; Computer Analysis; Computer Models; 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; bioinformatics resource; biomedical scientist; computational pipelines; computational platform; 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.

摘要 该研究将由内布拉斯加州综合生物分子通信中心（CIBC）进行 研究人员将导致创建大型，复杂的数据集，特别是对于那些研究人员， 宏基因组学、代谢组学和蛋白质组学项目。适当的实验设计、数据生成和 对这些数据集的后续分析将需要分析和计算方面的专门知识， 设备和相关技术专长，以及大容量、高速计算设施。协调 获得这种服务的成本往往过高，而且对各个实验室来说不直观。另一个障碍 面对许多生物医学研究人员，包括那些隶属于CIBC，是及时和 与合作者、利益相关者和 马达加斯加国家顶级域名为了解决这些问题，CIBC将支持数据管理和分析核心 （DMAC）设施。DMAC设施的长期目标是建立一个关键的，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， 高通量生物/化学数据的专业知识，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调查人员服务：1）设计和实施 用于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-用于CIBC调查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，以实现复杂的跨学科项目，这可能需要 在实验设计，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的研究，作为研究合作者对拟议的中心项目作出贡献，详见本 作为生物信息学的教育工作者，作为CIBC相关出版物的作者，以及作为合作伙伴， 调查人员对随后的内部和外部资金的建议;以及4）教育CIBC成员 关于大规模组学数据在化学和生物化学研究中的作用， 这些数据，以及已建立的omic数据预处理和分析管道， 在CIBC项目中使用这些技术。DMAC设施将为中心成员提供资源， 专门知识，以解决跨学科和跨学科的研究问题，重点是了解化学和 生物化学通信途径在公共卫生中的应用。通过DMAC，CIBC成员将 接受个性化的帮助，并与博士合作-生物医学科学家在 核心CIBC成员还将受益于教育机会，这将有助于建立他们的知识 生物医学组学、计算和分析的基础。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， 现有的计算设施与设施在林肯和奥马哈。