NHLBI Data Stage Coordinating Center

该应用程序描述了我们提出的协调国家心脏，肺， 血液研究所（NHLBI）数据存储、工具空间、访问和分析，实现大数据赋能 （阶段）计划，以支持NHLBI的愿景，利用美国国立卫生研究院（NIH）的数据 共享基础设施，以满足NHLBI研究人员的具体需求。作为NHLBI STAGECC，我们将管理和协调不同的数据阶段联盟团队和利益相关者， 合作开发新的功能，从根本上改变数据， 计算资源可用于推进NHLBI研究和支持NHLBI战略愿景。 具体来说，我们将致力于有效和高效地构建一个数据科学平台（Getoor等人，（2016年） 高价值的心脏，肺，血液和睡眠（HLBS）数据集（附件1）。STAGECC将在 NHLBI Data STAGE Consortium，以调整Data STAGE愿景的共同观点，并将其 愿景成为一个实际的和相关的实施，满足研究人员的需求。我们的团队致力 to an approach方法that 培养了一个 实践，确保明确 和透明 通信， 支持包容性 和多样化 环境的 有利于倾听 和识别 协同作用，传播 有效的想法，以及 提供平衡的领导。作为一个团队，我们将从我们的经验， 社区开发的软件应用程序和我们多年来作为领导者和协调者的服务 大规模、多方面的合作。我们将采用既定的社区参与战略， 项目管理、沟通和报告。随着对HLBS疾病的研究的发展， Data STAGE成熟，我们作为STAGECC的方法将适应并促进持续的社区 参与旨在创建和协调支持发现的解决方案。

This application describes our proposed approach to the coordination of the National Heart, Lung, and Blood Institute (NHLBI) Data Storage, Toolspace, Access and analytics for biG data Empowerment (STAGE) program in support of the NHLBI vision to leverage the National Institutes of Health (NIH) Data Commons infrastructure in order to address the specific needs of NHLBI researchers. As the NHLBI STAGECC, we will manage and coordinate the diverse Data STAGE Consortium teams and stakeholders in order to collaboratively develop novel functionality that will fundamentally change the data and computational resources available to advance NHLBI research and support the NHLBI Strategic Vision. Specifically, we will work to effectively and efficiently build a data-science platform (Getoor et al., 2016) for high-value heart, lung, blood, and sleep (HLBS) datasets ( Exhibit 1 ). The STAGECC will work across the NHLBI Data STAGE Consortium to align a common view of the Data STAGE vision and transform that vision into a practical and relevant implementation that meets researcher needs. Our team is committed to an approach that fosters a community of practice, ensures clear and transparent communication, supports an inclusive and diverse environment, is conducive to listening and identifying synergies, disseminates ideas effectively, and provides balanced leadership. As a team, we will build from our experience orchestrating community-developed software applications and our many years of service as leaders and coordinators of large, multifaceted collaboratives. We will apply established strategies for community engagement, project management, communication, and reporting. As research on HLBS disorders evolves and the Data STAGE matures, our approach as the STAGECC will adapt and foster continuous community engagement aimed at creating and coordinating solutions in support of discovery.