Statistics and Data Coordinating Center

统计和数据协调中心（S&DCC）为UCSF中心的拟议更新， 解决儿童口腔健康的差异（绰号CAN DO 2）将服务于生物统计和 项目的数据库管理需求。S&DCC将在成功的基础上再接再厉， 加州大学旧金山分校综合口腔健康研究中心的生物统计学和研究数据核心 Discovery（P60 DE 13058），并作为第一个CAN DO资助期的测量和评估核心。 此外，S&DCC将利用其与UCSF的大量专业知识和能力 临床和转化科学研究所（CTSI），第一轮NIH/NCRR资助的临床和 翻译科学奖始于2006年。 中央协调中心的一个优势是“参与众多项目和协议 允许暴露于在许多研究中普遍存在的问题，但可能看起来相对较小 在更狭窄的范围内。“（1）中央S&DCC，建立在早期的项目和牙科专业知识的基础上， 研究和分析，将使更有效和富有成效的互动与调查人员比咨询 与不同的流行病学家，生物统计学家，心理测量学家，人类学家，通信专家， 地理学家、程序员和数据管理员。此外，一致的S&DCC工作人员在有关 项目使跨学科的联系和创新更容易瞄准，也更可行和有效。 将继续在编码、输入和储存的统一框架内开发数据库; 此外，S&DCC将为NIDCR合作工作组（CWG）做出贡献， 跨中心的通用数据元素。S&DCC还将扩大或发展研究和分析， 在必要时，为CAN DO 2项目提供解决方案。 S&DCC的目标是促进实现和保持最高的道德，研究设计， 程序、数据管理和分析标准。

The Statistics and Data Coordinating Center (S&DCC) for the proposed renewal of the UCSF Center to Address Disparities in Children's Oral Health (nicknamed CAN DO 2) will serve the biostatistical and database management needs of the projects. The S&DCC will build upon and expand successes as the Biostatistics and Research Data Core for the UCSF Comprehensive Oral Health Research Center of Discovery (P60 DE13058) and as the Measurement & Evaluation Core of the first CAN DO funding period. Moreover, the S&DCC will leverage its substantial expertise and capacities with those of the UCSF Clinical and Translational Sciences Institute (CTSI), a first-round NIH/NCRR-funded Clinical and Translational Science Award that began in 2006. An advantage to a central coordinating center is that "involvement in numerous projects and protocols allows exposure to problems that are pervasive throughout numerous studies yet may appear relatively minor within a narrower context." (1) A central S&DCC, building upon earlier projects and expertise in dental research and analysis, will enable more efficient and productive interactions with investigators than consulting with separate epidemiologists, biostatisticians, psychometricians, anthropologists, communications experts, geographers, programmers and data managers. Moreover, consistent S&DCC personnel working on related projects makes interdisciplinary connection and innovation easier to target as well as feasible and efficient. Databases will continue to be developed within a unified framework for coding, entry, and storage; additionally the S&DCC will contribute to the NIDCR Collaborative Working Group (CWG) to establish common data elements across Centers. The S&DCC will also extend or develop research and analytic methodologies, when necessary, to provide solutions for CAN DO 2 projects. The S&DCC's goals are to foster achieving and maintaining the highest ethical, research design, procedural, data management and analytic standards.