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。这项中央评估将有助于 项目之间的结果比较，特别是RNA-Seq数据，以比较和对比过敏原特异性T 细胞表型与不同的特异性和不同的临床表现有关。此外，公契将会 负责确保将根据本合同获得的数据和数据分析及时提交给 免疫表位数据库(IEDB)和免疫学数据库和分析门户(ImmPort)。为 为了实现集中数据管理，我们将利用我们的内部数据管理系统IMMun CAT。这 该系统由多个相互关联的数据库组成，特别是用于跟踪捐赠者和样本的数据库。 以及临床信息。在这里，我们将扩展DORA，以确保所有与 目前的建议已被采纳。该数据库将可通过互联网访问，并提供一致的 作为选择样本和解释结果的基础。DORA中的所有信息都将被编码，以便研究项目 将无法访问敏感信息，从而允许数据自由共享。在数据分析方面 服务，我们将提供一组自动分析管道，获取研究生成的数据 并提供统一和标准化的分析，以促进项目间比较和 再现性。RNA-Seq数据的管道已经完全实现，包括用户友好的网络 生成结果的报告。促进与IEDB、ImmPort和其他机构有效地共享数据 数据库以使我们的数据集广泛可用，我们将利用在 这项提议将纳入联索观察团的信息管理系统。我们将建立专门的 导出模块，用于提取要提交的相关信息并将其转换为所需的格式。我们 有丰富的经验设计类似的数据管理和从以前的赠款导出功能。

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.