课题基金 / 基金详情

Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research)

Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research)
协作研究:框架:DeCODER(用于开放发现以支持研究的民主化网络基础设施)
批准号:
2209865
负责人:
Christine Kirkpatrick
金额:
$130.4万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2026-09-30

项目摘要

项目成果

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中文摘要
翻译
今天,大多数科学领域的科学研究都需要大量的数据以及对这些数据进行操作的软件。此外,研究越来越需要来自多个来源的数据,甚至可能是来自领域的数据。这对科学界来说是一项重大挑战,需要更好的解决方案,以实现新的发现,并加快这些发现的社会影响。这个项目的方法是追随网络的脚步,它的目标是标准化描述科学数据的方式,允许使用工具来解决上述挑战,例如对科学数据的搜索引擎,不仅支持可发现性,而且促进数据的使用。解码器项目将扩展和扩展成功的EarthCube GeoCODES平台和社区,以统一数据和工具描述,并在地球科学领域重新使用。在NSF CIF21愿景的基础上,形成了地球立方体计划,以解决地球科学中围绕数据和软件的技术挑战。通过与社区的广泛交互,这最终导致了围绕数据发现和重用的两个关键活动。首先,推广、改进和采用schema.org来注释分布式存储库中的地学元数据,以便对数据集进行爬行。第二,促进和支持采用笔记本记录、共享和重复使用软件,将其作为同行评审的学术对象。围绕这些活动的一个凝聚点是GeoCODES平台,它允许社区建立特定于其领域的科学搜索引擎实例,同时建立一个地球科学数据用户和开发者社区,并最终减少进行科学研究的时间。该项目将利用解码器平台的这一努力,使科学界能够开展类似的活动和取得类似的成果。这项工作将继续努力支持科学界采用schema.org和笔记本电脑,通过提供解码器作为开放源码资源来促进这一点,该资源可以由给定的科学社区定制,以创建聚集相关分布式资源的轻量级科学网关。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Scientific research in most scientific fields today involves significant amounts of data as well as software to operate on that data. Furthermore, research increasingly requires data from across a number of sources, perhaps even fields. This is a significant challenge for the scientific community, and better solutions are needed in order to enable new discoveries and accelerate the societal impacts from those discoveries. The approach in this project is to follow in the footsteps of the web and it aims to standardize how scientific data is described, allowing for tools addressing the above challenges, such as search engines for scientific data that not only support discoverability but also facilitate the usage of the data.The DeCODER project will expand and extend the successful EarthCube GeoCODES platform and community to unify data and tool description and re-use across geoscience domains. Building on the NSF CIF21 vision, the EarthCube program was formed to address the technological challenges surrounding data and software within the geosciences. Through extensive interaction with the community this culminated in two key activities around data discovery and reuse. First, the promotion, refinement, and adoption of schema.org to annotate geosciences metadata within distributed repositories so that datasets can be crawled. Second, the promotion and support for the adoption of notebooks to document, share, and reuse software as peer reviewed scholarly objects. A rallying point around these activities was the GeoCODES platform, which allows communities to stand up instances of scientific search engines specific to their domains, while building a community of geoscience data users and developers and, ultimately, reducing the time to science. This project will leverage this effort in the DeCODER platform to enable similar activities and outcomes across scientific communities. This work will continue the endeavor to support the scientific community in the adoption of schema.org and notebooks, facilitating this by providing DeCODER as an open source resource that can be customized by a given scientific community to create lightweight scientific gateways that bring together relevant distributed resources.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach
人类和自然对美国淡水盐化和碱化的影响:机器学习方法
DOI: 10.1016/j.scitotenv.2023.164138
发表时间: 2023
期刊: Science of The Total Environment
影响因子: 9.8
作者: [E, Beibei, Zhang, Shuang, Driscoll, Charles T., Wen, Tao]
通讯作者: Wen, Tao
Conference: Workshop: 2023 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator (PI) Meeting
  • 批准号:
    2332200
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.17万
  • 财政年份:
    2023
  • 负责人:
    Christine Kirkpatrick
  • 依托单位:
Disciplinary Improvements: AI Readiness, Reproducibility, and FAIR: Connecting Computing and Domain Communities Across the ML Lifecycle
  • 批准号:
    2226453
  • 项目类别:
    Standard Grant
  • 资助金额:
    $126.0万
  • 财政年份:
    2022
  • 负责人:
    Christine Kirkpatrick
  • 依托单位:
Geosciences EarthCube Community Office
  • 批准号:
    1928208
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $590.0万
  • 财政年份:
    2019
  • 负责人:
    Christine Kirkpatrick
  • 依托单位:
BD Hubs: Collaborative Proposal: West: Accelerating the Big Data Innovation Ecosystem
  • 批准号:
    1916481
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $99.17万
  • 财政年份:
    2019
  • 负责人:
    Christine Kirkpatrick
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)