Statistics and Data Coordinating Center

统计和数据协调中心(S和数据协调中心)，建议将加州大学旧金山分校中心更新为 解决儿童口腔健康方面的差异(绰号Can Do 2)将服务于生物统计学和 项目的数据库管理需求。S和DCC将在成功的基础上，作为 加州大学旧金山分校口腔健康综合研究中心的生物统计和研究数据核心 发现(P60 DE13058)并作为测评核心的第一个能做资助期。 此外，S和DCC将利用其与加州大学旧金山分校的大量专业知识和能力 临床和翻译科学研究所(CTSI)，NIH/NCRR资助的第一轮临床和翻译科学研究所 翻译科学奖始于2006年。 中央协调中心的一个优势是“参与了许多项目和协议 允许暴露在众多研究中普遍存在的问题，但可能看起来相对较小 (1)在牙科早期项目和专业知识的基础上，建立在S和DCC的中心 研究和分析，将使与调查人员的互动比咨询更有效和富有成效 有不同的流行病学家、生物统计学家、心理测量学家、人类学家、传播专家、 地理学家、程序员和数据经理。此外，S和DCC的相关工作人员始终如一 项目使跨学科的联系和创新更容易瞄准，也更可行和高效。 将继续在统一的编码、录入和存储框架内开发数据库； 此外，S和DCC还将协助中国国际研究开发协会合作工作组(CWG)建立 各中心的通用数据元素。S和DCC还将扩大或发展研究和分析 方法论，必要时，为能做2个项目提供解决方案。 S和DCC的目标是促进实现和维护最高道德、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.