Collaborative: Summit on Big Data and Cyberinfrastructure in Materials Research

材料科学研究的重点是开发和部署新的或增强的材料，以在现代生活的几乎每个方面创造价值。数据收集和应用的最新进展为更有效和新材料的发现提供了希望，以加速新材料的创造和使用，从而为社会服务。 然而，为了实现这些数据的机会，我们需要更开放和集成的方法来理解和共享材料领域的信息。该项目是一项以社区为基础的努力，通过促进材料领域利益相关者的直接行动，采取多方面的方法来加强材料数据基础设施（MDI）的核心。它符合NSF将数据革命（HDR）作为推动研究议程重要方面的十大理念之一的优先事项。HDR的目标与2011年启动的材料基因组计划（MGI）相吻合，该计划旨在为政府机构创建一个框架，以支持建立材料研究数据基础设施的研究计划。进入MGI近八年，随着社区对数据革命的支持，我们迫切需要评估进展并制定具体的指导方针，以帮助材料领域实现其以数据为中心的愿景。我们的工作重点是如何将数据创建中心纳入统一的愿景，以公平（可查找，可访问，可互操作和可重用）的功能方式真正共享数据，以推进材料研究。该项目包括五项协调活动：1.美国学术资料研究、数据基础设施和管理实践现状调查.教育和推广公平数据原则。召开关于材料研究中的大数据和网络基础设施的峰会。出版首脑会议结论和成果报告。创建材料研究数据协调理事会。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

Materials science research is focused on development and deployment of new or enhanced materials to create value in virtually every aspect of modern life. Recent advances in data collection and application provide the promise of more efficient and novel materials discovery to accelerate creation and use of novel materials to serve society. To realize the opportunities of such data, however, we require more open and integrated ways to understand and share information across the materials domain. This project is a community-based effort that takes a multifaceted approach to strengthening the Materials Data Infrastructure (MDI) core by facilitating direct action across the breadth of materials domain stakeholders. It fits NSF's priority to Harness the Data Revolution (HDR) as one of 10 Big Ideas to drive important aspects of the research agenda. HDR goals dovetail with the Materials Genome Initiative (MGI) launched in 2011 to create a framework for government agencies to support research programs that build materials research data infrastructure. Nearly eight years into the MGI and as the community reaches to Harness the Data Revolution, we have an acute need to evaluate progress and develop specific guidance to help move the materials domain toward realization of its data-centric vision. Our effort is focused on how to bring centers of data creation into a unified vision to truly share data in FAIR (findable, accessible, interoperable, and reusable), functional ways to advance materials research. The project includes five, coordinated activities:1. Survey of current U.S. academic materials research data infrastructure and management practices.2. Education and promotion of FAIR data principles.3. Convening a summit on Big Data and cyberinfrastructure in materials research.4. Publication of a report of summit findings and outcomes.5. Creation of a Materials Research Data Coordinating Council.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.