DATA COMPILATION AND ANALYSIS

这一共享资源的目标是为涉及收集、管理和分析大量复杂多样数据的同行评审癌症研究提供增值服务。许多临床和人口研究包括各种不同类型的数据收集。使用一个复杂的关系数据库将能够提供详细的管理报告，以便根据需要研究领导人。适当使用此类报告将通过早期识别缺失数据和自动安排患者参加研究活动来显著提高研究数据的质量。此外，基础科学领域正在迅速发展的一系列新技术导致了非常大的数据收集，这些数据收集需要复杂的计算才能最大限度地发挥研究人员的效用。预计这将是赠款下一阶段的主要发展领域。该资源提供的服务包括：1。人口和其他大规模研究的关系数据库的设计和编程。2. 开发和监督用于研究的复杂数据通信系统。3. 开发新的计算机软件，以协助研究人员分析和解释由新的微阵列和蛋白质学技术产生的复杂数据。4. 检测和分析分子观察与临床参数的相关性和模式。这个资源在过去的两年里有了相当大的增长，这使得它有理由从行为评估和咨询共享资源中分离出来。资源中心提供的服务侧重于大型项目，这些项目充当中心的焦点和跨中心的交互性项目的基础。此外，预计在未来几年内，用于分析阵列数据的计算软件的需求将急剧增加，而诸如此类资源的可用性对于UCSD癌症中心科学家优化这项新技术价值的能力至关重要。去年，该资源被癌症预防和控制项目大量利用。然而，阵列技术的快速发展和中心临床试验活动的增加表明，这一资源将主要来自基础和临床科学项目。

The goal of this Shared Resource is to provide a value-added service to peer-reviewed cancer research studies involving the collection management and analysis of large amounts of complex and varied data. Many clinical and population studies include a variety of different types of data collections. The use of a sophisticated relational database will enable detailed management reports to be available to study leaders on demand. The appropriate use of such reports will significantly improve the quality of the study data by the early identification of missing data and the automatic scheduling of patients for study activities. In addition, the new array of technology that is rapidly being developed in basic science results in very large data collections which need sophisticated computing to maximize their utility to the researchers. This is expected to be a major developing area over the next period of the grant. The services provided by this Resource include: 1. The design and programming of relational databases for population and other large scale research studies. 2. The development and supervision of a sophisticated data communications system for research studies. 3. The development of new computer software to assist researchers in analyzing and interpreting sophisticated data generated from the new microarray and proteonics technologies. 4. The detection and analysis of correlations and patterns linking molecular observation with clinical parameters. This Resource has grown considerably in the last two years which has justified splitting it off from the Behavioral Assessment and Counseling Shared Resource. The service provided by the Resource has focused on very large projects that are acting as focal points and the underpinning for interactivity projects across the Center. Also, the need for computational software for analysis of array data is expected to increase dramatically in the next few years and the availability of a resource such as this is critical to the ability of UCSD Cancer Center scientists to optimize the value of this new technology. In the last year the Resource has been heavily utilized by the Cancer Prevention and Control Program. However, the rapid development of the array technology and the increase in clinical trials activity in the center indicates that this resource will be in major demand from the basic and clinical science programs.