Data Coordination Core

项目总结/摘要 数据协调核心（DCC）提案概述了DCC对NIH总体目标的贡献 多样性计划联盟（DPC）协调和评估中心在加州大学洛杉矶分校（CEC），并通过该中心， NIH的总体目标和运作增强NIH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， 在多个国家实现与成功的生物医学研究人员的商定标志有关的全计划目标 职业阶段。DCC将提供最先进的数据收集和数据管理专业知识， 支持收集评估DPC实现其目标的进展所需的数据的服务， 允许及时发现问题或成功实现计划目标的障碍。会同 发展协调委员会评价核心将支持对数据收集工具和程序进行任何必要的更新，以确保 全面评估BUILD（第1和第2阶段）和NRMN（第1阶段）活动对 实现方案基准和收集数据，以支持正在进行的分析和评估。 为促进这些努力取得成功而提出的创新措施包括： 简化和便利使用的系统; ㈡执行新的外联战略， 参与者; ㈢在制定和测试新措施方面进行合作; ㈣建立一个加强的， 在线数据文档和数据存储库，以确保DPC数据和系统的长期可访问性 感兴趣的研究人员。发展协调委员会还将协助中央选举委员会制定和传播新的 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。 至关重要的是，DCC收集的全面、高质量和及时的数据支持了所需的持续 计划评估和迭代计划调整，以优化在满足DPC基准方面的成功， 在多个职业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.