Data Management Core

核心摘要 数据管理核心（DMC）将提供集中的数据管理和分析服务，以及 本建议书中所有项目和核心的功率计算。这项中央评估将促进 比较项目之间的结果，特别是RNA-Seq数据，以比较和对比过敏原特异性T 与不同特异性和不同临床表现相关的细胞表型。此外，DMC将 负责确保及时提交根据本合同获得的数据和数据分析， 免疫表位数据库（IEDB）和免疫学数据库和分析门户（ImmPort）。为 为了集中管理数据，我们将利用我们的内部数据管理系统IMMUNOCAT。这 该系统由多个相互连接的数据库组成，特别是用于跟踪捐赠者和样本的DoRAS 沿着临床信息。在这里，我们将扩展DoRAS以确保与 目前的提案已被采纳。该数据库将通过互联网访问，并提供一致的 选择样本和解释结果的依据。DoRAS中的所有信息都将被编码， 将无法访问敏感信息，允许数据自由共享。在数据分析方面 服务，我们将提供一套自动分析管道，将研究产生的数据 提供统一和标准化的分析，以便利项目间的比较， 再现性RNA-Seq数据的管道已经完全实施，包括用户友好的网站 报告生成的结果。为方便与进出口局、入境事务处及其他 数据库，使我们的数据集广泛可用，我们将利用这一事实，即数据生成的 这一提议将被纳入联合国大西洋金枪鱼养恤基金信息管理系统。我们将致力于 导出模块，提取相关信息提交并将其转换为所需格式。我们 有丰富的经验，设计类似的数据管理和出口功能，从以前的赠款。

CORE SUMMARY The Data Management Core (DMC) will provide centralized data management and analysis services as well as power calculations for all of the projects and cores in this proposal. This central assessment will facilitate the comparison of results between projects, notably for RNA-Seq data, to compare and contrast allergen-specific T cell phenotypes associated with different specificities and different clinical presentations. Further, the DMC will be responsible for ensuring the timely submission of data and data analyses obtained under this award to the Immune Epitope Database (IEDB) and the Immunology Database and Analysis Portal (ImmPort). For centralized data management, we will utilize IMMUNOCAT, our in-house data management system. This system is comprised of multiple interconnected databases, notably DoRAS for tracking donors and samples along with clinical information. Here, we will extend DoRAS to ensure that all clinical information relevant to the present proposal is captured. The database will be accessible through the internet and provide a consistent basis to select samples and interpret results. All information in DoRAS will be coded, so that research projects will not have access to sensitive information, allowing data to be freely shared. In terms of data analysis services, we will provide a set of automated analysis pipelines that take the data generated by the research projects and provide uniform and standardized analyses that will facilitate inter-project comparisons and reproducibility. Pipelines for RNA-Seq data have already been fully implemented including user friendly web reports for the generated results. To facilitate efficient data sharing with the IEDB, ImmPort and other databases to make our datasets broadly available, we will take advantage of the fact that data generated in this proposal will be captured in the IMMUNOCAT information management system. We will build dedicated export modules that extract the relevant information for submission and translate it into the desired format. We have extensive experience designing similar data management and export functionality from previous grants.