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 系统和生物信息学计算基础架构，用于跟踪，存储，集成和 传播研究项目1-4和技术中产生的数据和生物资源以及 免疫学核心，内核B和D。将从项目中获得数据和资源 通过适用的公共档案提交给更广泛的科学界，或 当不存在此类档案时，项目门户网站。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的Web工具，我们将跟踪所有样本，数据，IRB 文档及其各自的元数据在每个研究项目中。我们期望 研究项目和核心生成大量数据，我们将继续扩展我们的大容量 数据存储基础架构以存储，管理和共享这些数据与科学界。 我们将部署开放科学数据框架（OSDF），这是IGS开发的可扩展文件系统平台 为了存储不同的数据类型及其元数据。最后，我们将与研究合作 PIS PIS确保所有主要数据和派生的分析结果将提供给 更广泛的科学界。这将通过将主要数据存入公共档案馆来实现 作为NCBI简短读取存档（SRA），衍生的结果，例如基因组组件，序列 NCBI GenBank，DBSNP和基因表达综合（GEO）中的变体和表达数据。在 除了将数据沉积到公共档案馆中，我们将建立一个供科学界访问的网站 所有原始和自定义数据集，分析工具和标准操作程序（SOP）文档。