BD Hubs: Collaborative Proposal: West: Accelerating the Big Data Innovation Ecosystem

BD中心促进利益相关者的区域网络，并就美国对区域和国家的重要优先事项进行全国合作。BD Hubs的活动有助于建立一个充满活力的国家数据创新生态系统。西部大数据创新中心建立和加强战略伙伴关系-利用数据革命来应对科学和社会挑战。无论是致力于未来的数据信息医疗保健，还是处理灾难恢复项目，该中心都设想了一个多元化的社区，能够为国家优先领域做出贡献。该中心专注于激发跨部门合作并满足多学科方法需求的数据科学活动和计划。凭借该奖项，西部大数据创新中心将：（1）在我们的主题领域开发和实现转化数据科学（TDS）试点项目，以突出跨部门合作的价值，增强对真实世界用例的流畅性，并强调对数据和分析生命周期的务实和全面的看法。我们设想2019-2023年的标志性TDS计划包括：火与水：未来自然资源管理的数据协作;道路视频的压力测试访问;以及住房不稳定性：负责任数据管理的可信数据协作。(2)通过我们的活动促进不同利益相关者群体的团队组建，捕捉鼓舞人心的故事，并鼓励团队反思和分享他们对跨部门合作的见解。(3)提高对区域机遇的认识，并激励优先领域的工作，包括自然资源灾害，地铁数据科学，健康医学，数据驱动的发现学习，数据共享，云计算和负责任的数据科学。(4)支持数据科学教育和劳动力发展。认识到多元化，多方面的劳动力是解决当前科学和社会挑战的关键，我们将继续扩大我们的教育和劳动力发展工作的组合，包括专注于培训师课程，教学法和实践，社会公益数据科学和数据科学军团，可查找的可互操作和可重用（FAIR）数据，和制度变革-为扩大数据科学的参与提供平台。我们在方案活动、社会技术共享资源和服务以及教育和劳动力发展活动方面取得进展的核心将是协调一致的评估，将区域成功扩大到国家大数据中心网络的机会，以及中心可持续性的战略努力，包括外部资金流的发展。这些努力将旨在使社区投入和加强渠道进行对话。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的知识价值和更广泛的影响审查标准的支持。

The BD Hubs foster regional networks of stakeholders and cooperate nationally on US priorities of importance to a region and to the nation. The activities of the BD Hubs contribute to a vibrant national data innovation ecosystem. The West Big Data Innovation Hub builds and strengthens strategic partnerships -- harnessing the data revolution to address scientific and societal challenges. Whether working towards the future of data-informed healthcare or tackling projects in disaster recovery, the Hub envisions a diverse community empowered to contribute to areas of national priority. The Hubs focus on data science activities and initiatives that inspire cross-sector collaboration and exemplify the need for multi-disciplinary approaches.With this award, the West Big Data Innovation Hub will: (1) Develop and enable translational data science (TDS) pilot projects in our thematic areas to highlight the value of cross-sector collaboration, enhance fluency with real-world use cases, and emphasize a pragmatic and holistic view of the data and analytics lifecycles. We envision our signature TDS initiatives for 2019-2023 to include: Fire and Water: Data Collaborative for the Future of Natural Resource Management; Stress-Testing Access for Road Video; and Housing Instability: Trusted Data Collaborative for Responsible Data Management. (2) Facilitate team formation across different stakeholder groups through our activities, capturing inspirational stories and encouraging teams to reflect and share their insights about cross-sector collaboration. (3) Raise awareness of regional opportunities and inspire work in priority areas including Natural Resources & Hazards, Metro Data Science, Health & Medicine, Data-Enabled Discovery & Learning, Data Sharing, Cloud Computing, and Responsible Data Science. (4) Support data science education and workforce development. Recognizing that a diverse, multi-faceted workforce is key to addressing current scientific and societal challenges, we will continue to expand our portfolio of education and workforce development efforts, including a focus on Train-the-Trainer sessions, Pedagogy and Practice, Data Science for Social Good and the Data Science Corps, Findable Accessible Interoperable and Reusable (FAIR) data, and institutional change -- providing a platform for broadening participation in data science. Core to our progress in Programmatic Activities, Socio-Technical Shared Resources and Services, and Education and Workforce Development Activities will be a coordinated evaluation, opportunities for scaling regional successes to the national network of Big Data Hubs, and strategic efforts for Hub sustainability including the development of external funding streams. These efforts will be designed to enable community input and to strengthen channels for ongoing dialogue.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.