Extension of clinical data structured into the ImmPort model and cross-study data exploration and visualization user interface

项目总结/摘要 生物医学研究数据的共享促进了研究结果的独立验证， 试验和重复使用数据来测试新的假设。一个共享数据的平台是免疫学数据库， 分析门户（ImmPort），一个公共数据仓库，提供对临床和机械数据的开放访问， 目前有341项免疫学和临床研究。除了有价值的高吞吐量数据元素，ImmPort 提供对临床研究中个人水平数据的访问。ImmPort的许多临床研究都有一个 大量与它们相关的数据没有注释和解析到结构化的ImmPort MySQL中 数据库模型，但作为各种不同格式的单独文件提供。在这种形式下，数据不 可随时用于数据挖掘或二次分析。我们将优先考虑来自临床的非结构化数据， 研究如何集成到结构化MySQL ImmPort模型中，以促进更好的访问和重用。我们进一步 将统一数据库中尚未确定首选术语的词汇表， 这对于二次分析是高度关注的。目前，在ImmPort的研究中挖掘可用数据 对于没有信息学经验的用户来说是一个挑战，因此， ImmPort的网页。为了满足这一关键需求，我们将开发交互式交叉研究数据探索 ImmPort模型中数据的可视化用户界面，包括创建交叉研究的功能 出口.新结构化到ImmPort模型中的数据以及用户界面将被集成到 ImmPort及其网页。几种疾病的治疗（例如过敏，器官移植）依赖于 诱导免疫耐受。在ImmPort中，几项研究关注不同的疾病， 免疫耐受的话题。我们将对共享的个体水平临床和 这些研究的机制数据，以确定潜在的普遍驱动因素，发展临床 免疫耐受这一分析将用于为交互式用户界面开发一个逐步教程。

Project Summary/Abstract Sharing of biomedical research data facilitates independent validation of findings, the design of future clinical trials and the reuse of data to test new hypothesis. One platform to share data is the Immunology Database and Analysis Portal (ImmPort), a public warehouse providing open access to clinical and mechanistic data from currently 341 immunological and clinical studies. In addition to valuable high-throughput data elements, ImmPort provides access to individual-level data from clinical studies. Many of these clinical studies in ImmPort have an abundance of data associated with them that is not annotated and parsed into the structured ImmPort MySQL database model but made available as separate files in various different formats. In this form the data are not readily available for data mining or secondary analysis. We will prioritize the unstructured data from clinical studies for integration into the structured MySQL ImmPort model to facilitate better access and reuse. We further will harmonize the used vocabularies in the database for which a preferred terminology is not yet established but which is of high interest for secondary analyses. Currently, the mining of available data across studies in ImmPort is a challenge for users who have no experience in informatics and, therefore, rely on the keyword search on ImmPort’s web page. To address this critical need, we will develop an interactive cross-study data exploration and visualization user interface for data in the ImmPort model including the functionality to create cross-study exports. The data newly structure into the ImmPort model as well as the user interface will be integrated into ImmPort and its web page. The treatments of several diseases (e.g. allergies, organ transplantation) rely on the induction of immune tolerance. In ImmPort serval studies focus on different diseases but with the underlying topic of immune tolerance. We will perform a secondary analysis of the shared individual-level clinical and mechanistic data of these studies towards the identification of potential universal drivers of developing clinical immune tolerance. This analysis will be used to develop a step-by-step tutorial for the interactive user interface.