Data Management, Analysis and Resources Dissemination Core

数据管理、分析和资源传播核心的具体目标是提供 系统和生物信息计算基础设施，用于跟踪、存储、集成和 传播研究项目1-4产生的数据和生物资源以及技术和 免疫学核心，分别是核心B和核心D。来自这些项目的数据和资源将 更广泛的科学界可通过提交公共档案(如适用)或 不存在此类存档时的项目门户。使用我们的定制实验室信息管理 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 文件及其在每个研究项目中各自的元数据。我们期待着 研究项目和核心以生成大量数据，我们将继续扩展我们的高容量 用于存储、管理这些数据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开发的一个可扩展的文件系统平台 用于存储不同数据类型及其元数据。最后，我们将与研究人员合作 项目绩效指标，以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储在公共档案馆中来实现，例如 作为NCBI短读档案(SRA)，以及推导出的结果，如基因组组装，序列 NCBI Genbank、数据库SNP和基因表达总览(GEO)中的变异体和表达数据。在……里面 除了将数据存放到公共档案外，我们还将建立一个网站，供科学界访问 所有原始和定制数据集、分析工具和标准操作程序(SOP)文件。

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.