Data Infrastucture and Info Dissemination on Health Disparities Research

该项目旨在建立国家健康差异研究协调中心（NHDRCC）， 可检索的电子数据库，其中载有与健康差距有关的所有研究和政策。我们的目标是 项目是完成我们的工作。Spectrum Unlimited，开始开发和组织测试版 国家人类发展报告和协调委员会。 具体目标#1：提高频谱无限公司的运营效率-创建了国家人类发展报告协调委员会 数据库 我们的程序员将研究帮助系统处理大量数据的方法， 存储和访问这些数据的独特方法。 具体目标#2：通过改进数据收集和分析来支持转化研究过程。 将台式研究转化为临床的能力是当今生物医学的一个主要推动力。的 数据库的功能必须允许并置，使研究人员和数据库用户 意识到研究可以很容易地进行临床测试并转化为患者。当务之急是研究 这可以帮助预防、诊断和治疗疾病，特别是不成比例地 影响特定人群，尽可能快速和安全地提供给患者。 具体目标#3：改进向研究人员、政策制定者和其他人传播收集的数据。 数据传播对科学研究进程至关重要。将信息快速上传到 数据库，通过复杂的算法可以轻松访问，无缝地搜索 正确的信息，并纳入计算机智能模型，以帮助搜索，将是 这对未来的研究和研究政策的制定都很重要。

This project is to establish the National Health Disparities Research Coordinating Center (NHDRCC), a searchable electronic database of all research and policy relevant to health disparities. Our goal in this project is to complete the work we. Spectrum Unlimited, began in developing and organizing the beta version Ofthe NHDRCC. SPECIFIC AIM #1: To enhance operational effectiveness ofthe Spectrum Unlimited Inc.-created NHDRCC database. Our programmers will study ways to aid the system in handling massive amounts of data and will devise unique means to store and access these data. SPECIFIC AIM #2: Support the translational research process by improving data collection and analysis. The ability to translate bench-top research to the clinic is a major thrust in biomedicine today. The functionality of the database must allow for juxtapositions that will make researchers and database users aware of research that can be readily clinically tested and translated to patients. It is imperative that research that could aid in prevention, diagnosis and treatment of disease, especially diseases that disproportionately affect specific populations, be made available to patients as quickly and as safely as possible. SPECIFIC AIM #3: Improve dissemination of collected data to researchers, policymakers, and others. Data dissemination is essential to the scientific research process. The rapid ability to upload information to the database, have it readily accessible through complex algorithms that seamlessly allow searching for the correct information, and that incorporate computerized intelligence models to aid in searching, will be important to future research and to the determination of research policy.