Data Coordination Core

项目摘要/摘要 数据协调核心(DCC)提案概述了DCC对NIH总体目标的贡献 加州大学洛杉矶分校(CEC)多样性计划联盟(DPC)协调和评估中心 国家卫生研究院的总体目标和运作加强国家卫生研究院资助的劳动力计划的多样性。 DCC将继续与其他CEC核心以及DPC的Build、NRMN和NIH成员合作，以 实现与多个成功的生物医学研究人员达成一致的标志相关的计划范围目标 职业生涯阶段。数据中心将提供最先进的数据收集和数据管理专业知识，并 支持收集所需数据的服务，以评估新闻部在实现其目标方面的进展情况，并 允许及时识别成功实现计划目标的问题或障碍。与 评估核心，DCC将支持任何必要的数据收集工具和流程更新，以确保 全面评估建设(第1和第2阶段)和NRMN(第1阶段)活动对以下方面的影响 达到计划基准并收集数据以支持正在进行的分析和评估。 为加强这些努力的成功而提出的创新包括：(I)增强我们的CEC追踪器 简化和便利使用系统；(2)实施外展调查新战略 与会者；(3)就新措施的制定和测试进行合作；(4)建立一个更好的、 在线数据文件和数据储存库，以确保数据和数据中心数据和系统的长期可访问性 由感兴趣的研究人员提供。DCC还将为CEC开发和传播新的 教育和培训工具，供BUILD和NRMN获奖者以及DPC以外的其他人使用。 重要的是，DCC收集的全面、高质量和及时的数据支持所需的持续 计划评估和迭代计划调整，以优化成功达到DPC基准 在多个职业生涯阶段成功的生物医学研究职业发展。

PROJECT SUMMARY/ABSTRACT The Data Coordination Core (DCC) proposal outlines DCC contributions to the overall aims of the NIH Diversity Program Consortium (DPC) Coordination and Evaluation Center at UCLA (CEC) and through that to the overall goals and operation of the NIH Enhancing the Diversity of the NIH-Funded Workforce Program. The DCC will continue to work with other CEC cores and with BUILD, NRMN and NIH members of the DPC to achieve program-wide goals related to agreed-upon hallmarks of successful biomedical researchers at multiple career stages. The DCC will provide state-of-the-art data collection and data management expertise and services to support collection of the data needed to evaluate progress of the DPC in meeting its goals and to allow timely identification of problems or barriers to success in achieving program goals. Jointly with the Evaluation Core, DCC will support any needed updates to data collection tools and processes to ensure comprehensive assessment of the impact of BUILD (Phase 1 & 2) and NRMN (Phase 1) activities on attainment of program benchmarks and collection of data to support on-going analyses and evaluation. Proposed innovations to enhance the success of these efforts include: (i) enhancements to our CEC Tracker system to streamline and facilitate use; (ii) implementation of new strategies for outreach to survey participants; (iii) collaboration on development and testing of new measures; and (iv) creating an enhanced, on-line data documentation and data repository to ensure long-term accessibility of the DPC data and systems by interested researchers. The DCC will also contribute to the CEC's development and dissemination of new education and training tools for use by BUILD and NRMN awardees and others from outside the DPC. Critically, DCC collection of comprehensive, high-quality and timely data supports the needed on-going program evaluation and iterative program adjustment to optimize success in meeting DPC benchmarks of successful biomedical research career development at multiple career stages.