Data Management, Analysis and Resources Dissemination Core

数据管理、分析和资源传播核心

• 批准号: 8711766
• 负责人: David A Rasko
• 金额: $ 40.57万
• 依托单位: UNIVERSITY OF MARYLAND BALTIMORE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-15 至 2019-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8711766
• 关键词: Archives; Arts; Award; Bioinformatics; Biological; Cataloging; Catalogs; Collaborations; Communicable Diseases; Communities; Custom; Data; Data Analyses; Data Set; Data Storage and Retrieval; Deposition; Disease; Disease Outcome; Documentation; Ensure; Genbank; Gene Expression; Genome; Genomics; Goals; Immunology; Individual; Infection; Institutional Review Boards; Internet; Laboratories; Management Information Systems; Metadata; National Institute of Allergy and Infectious Disease; Procedures; Reading; Reagent; Research; Research Infrastructure; Research Project Grants; Resources; Sampling; Science; Shotguns; System; Technology; Variant; Work; biodefense; cluster computing; computer infrastructure; data management; data sharing; genome annotation; improved; metagenome; microbiome; pathogen; rRNA Genes; repository; tool; web interface; web site

The specific objective of the Data Management, Analysis, and Resources Dissemination Core is to provide systems and bioinformatics computing infrastructure necessary for tracking, storing, integrating, and disseminating the data and biological resources generated in Research Projects 1-4 and the Technology and Immunology Cores, Cores B and D, respectively. Data and resources from the Projects will be made available to the wider scientific community through submissions to public archives, where applicable, or a project portal when such archives do not exist. Using our customized Laboratory Information Management System (LIMS), project tracking systems, and integrated web tools, we will track all samples, data, IRB documentation, and their respective metadata throughout each of the Research Projects. We expect the Research Projects and Cores to generate significant amounts of data, and we will continue to scale our high-capacity data storage infrastructure to store, manage, and share these data with the scientific community. We will deploy the Open Science Data Framework (OSDF), a scalable file system platform developed at IGS for the storage of different data types along with their metadata. Finally, we will work with the Research Project PIs to ensure that all the primary data and derived analyses results will be made available to the wider scientific community. This will be accomplished by depositing the primary data in public archives such as the NCBI Short Read Archive (SRA), and the derived results such as genome assemblies, sequence variants, and expression data in NCBI Genbank, dbSNP, and the Gene Expression Omnibus (GEO). In addition to deposition of data to public archives, we will build a website for the scientific community to access all raw and custom data sets, analysis tools and standard operating procedure (SOP) documents.

数据管理、分析和资源传播核心的具体目标是提供 跟踪、存储、集成和分析所需的系统和生物信息学计算基础设施 传播研究项目 1-4 中产生的数据和生物资源以及技术和 免疫学核心，分别为核心 B 和 D。来自项目的数据和资源将被制作 通过向公共档案馆提交（如果适用）或 当此类档案不存在时，项目门户。使用我们定制的实验室信息管理 系统（LIMS）、项目跟踪系统和集成网络工具，我们将跟踪所有样品、数据、IRB 每个研究项目中的文档及其各自的元数据。我们期望 研究项目和核心可生成大量数据，我们将继续扩展我们的高容量 用于存储、管理并与科学界共享这些数据的数据存储基础设施。 我们将部署开放科学数据框架 (OSDF)，这是 IGS 开发的一个可扩展文件系统平台 用于存储不同数据类型及其元数据。最后，我们将与研究机构合作 项目 PI 确保所有主要数据和派生分析结果可供 更广泛的科学界。这将通过将主要数据存放在公共档案中来完成，例如 作为 NCBI 短读存档 (SRA)，以及衍生结果，例如基因组组装、序列 NCBI Genbank、dbSNP 和基因表达综合库 (GEO) 中的变体和表达数据。在 除了将数据存入公共档案馆外，我们还将建立一个网站供科学界访问 所有原始和自定义数据集、分析工具和标准操作程序 (SOP) 文件。