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Materials Data Infrastructure: A Roadmap for Enabling Storage and Sharing of Data in the Materials Community

Materials Data Infrastructure: A Roadmap for Enabling Storage and Sharing of Data in the Materials Community
材料数据基础设施:在材料社区中实现数据存储和共享的路线图
批准号:
1619577
负责人:
Justin Scott
金额:
$14.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-03-01 至 2018-03-31

项目摘要

项目成果

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中文摘要
翻译
虽然所有材料研究人员在他们的研究过程中产生数据,但仍然缺乏以公开方式存储和共享这些数据的资源。该奖项支持一项研究,以了解材料研究社区对存储和共享材料数据的基础设施的需求。PIS将组建一个由材料科学、计算和数据科学专家组成的团队,就社区努力和需求的现状以及研究社区和其他利益相关者(如联邦资助机构)的前进道路进行会面、讨论和提出建议。研究的结果将会是一份书面报告,并会公开让公众人士查阅。这项研究将涉及一个重要领域,该领域一直是许多讨论的主题,包括多次会议和讲习班。显然,需要一个基础设施来支持材料数据的存储和共享,最近关于共享联邦资助的研究成果的要求再次强调了这一点。这项研究将为该领域的专家提供一个独特的论坛,以评估目前的技术水平,并提炼社区的需求并提出可行的建议。材料数据的存储和共享对社区具有广泛的潜在影响,许多文件都概述了这一点,其中包括《国家科学院关于综合计算材料工程的研究》(2009年)和总统的《材料基因组促进全球竞争力倡议》(2011年)。PI团队一直走在材料创新的前沿,特别是在满足社区获取材料数据的需求方面。这项工作得到了来自土木工程、机械和制造创新部、材料研究部和物理部的广泛支持。这项研究将被广泛传播,并有可能在该领域产生重大影响。
英文摘要
While all Materials researchers generate data in the course of their research, there remains a dearth of resources for the storage and sharing of this data in a publicly accessible way. This award supports a study to understand the Materials Research community's needs related to infrastructure for the storage and sharing of Materials data. The PIs will assemble a team of experts in Materials Science and Computational and Data Sciences to meet, discuss, and make recommendations regarding the current state of the community's efforts and needs, and paths forward for both the research community and other stakeholders such as federal funding agents. The outcome of the study will be a written report, which will be made publicly available to the community at large. The study will address an important area which has been the topic of much discussion, including numerous meetings and workshops. The need for an infrastructure to support the storage and sharing of Materials data is clear, and has been reemphasized in recent requirements related to the sharing of outcomes from federally funded research. This study will provide a unique forum for experts in the field to convene to assess the current state of the art as well as distilling the community's needs and presenting actionable recommendations. The storage and sharing of Materials data has broad potential impacts to the community, as outlined in numerous documents including the National Academies study on Integrated Computational Materials Engineering (2009), and the President's Materials Genome Initiative for Global Competitiveness (2011). The PI team has been at the forefront of Materials Innovation, in particular with respect to the the community's needs for access to materials data. The work has broad support, from the Division of Civil, Mechanical and Manufacturing Innovation, Division of Materials Research, and the Division of Physics. The study will be broadly disseminated, and has the potential for significant impact in the field.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Building a Materials Data Infrastructure: Opening New Pathways to Discovery and Innovation in Science and Engineering
构建材料数据基础设施:开辟科学与工程发现和创新的新途径
DOI: 10.7449/mdistudy_1
发表时间: 2016
期刊: Building a Materials Data Infrastructure: Opening New Pathways to Discovery and Innovation in Science and Engineering
影响因子: --
作者: [Society, The Minerals]
通讯作者: Society, The Minerals
Symposium: Modeling and Simulation of Additive Manufacturing Materials, Processes and Mechanics at Materials Science & Technology 2018 (MS&T18); Columbus, Ohio; 14-18 Octob
A Study on Creating the MGI Workforce
WORKSHOP: The Third TMS Summit on Diversity in the Minerals, Metals, and Materials Professions
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: