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)
基本信息
- 批准号:2209863
- 负责人:
- 金额:$ 90.06万
- 依托单位:
- 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
- 起止时间:2022-10-01 至 2026-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
今天,大多数科学领域的科学研究都涉及到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,甚至可能是各个领域的数据。这对科学界来说是一个重大挑战,需要更好的解决方案,以实现新的发现,并加速这些发现的社会影响。这个项目的方法是跟随网络的脚步,旨在标准化科学数据的描述方式,允许工具解决上述挑战,例如科学数据的搜索引擎,它不仅支持可发现性,而且还促进了数据的使用。DeCODER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以及跨地球科学领域的重用。在NSF CIF21愿景的基础上,EarthCube项目的成立是为了解决地球科学中围绕数据和软件的技术挑战。通过与社区的广泛互动,最终形成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在分布式存储库中注释地球科学元数据,以便可以抓取数据集。第二,促进和支持采用笔记本来记录、共享和重用软件,作为同行评审的学术对象。围绕这些活动的一个集合点是GeoCODES平台,该平台允许社区建立特定于其领域的科学搜索引擎实例,同时建立地球科学数据用户和开发人员社区,最终减少科学时间。该项目将在DeCODER平台上利用这一努力,使科学界能够开展类似的活动并取得成果。这项工作将继续努力支持科学社区采用schema.org和笔记本,通过提供DeCODER作为开源资源来促进这一点,该资源可以由给定的科学社区定制,以创建轻量级的科学网关,将相关的分布式资源聚集在一起。该奖项反映了美国国家科学基金会的法定使命,并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,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Kenton McHenry其他文献
Enabling real-time multi-messenger astrophysics discoveries with deep learning
利用深度学习实现实时多信使天体物理学发现
- DOI:
10.1038/s42254-019-0097-4 - 发表时间:
2019-10-03 - 期刊:
- 影响因子:39.500
- 作者:
E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier M. Antelis;Etienne Bachelet;G. Bruce Berriman;Federica B. Bianco;Rahul Biswas;Matias Carrasco Kind;Kyle Chard;Minsik Cho;Philip S. Cowperthwaite;Zachariah B. Etienne;Maya Fishbach;Francisco Forster;Daniel George;Tom Gibbs;Matthew Graham;William Gropp;Robert Gruendl;Anushri Gupta;Roland Haas;Sarah Habib;Elise Jennings;Margaret W. G. Johnson;Erik Katsavounidis;Daniel S. Katz;Asad Khan;Volodymyr Kindratenko;William T. C. Kramer;Xin Liu;Ashish Mahabal;Zsuzsa Marka;Kenton McHenry;J. M. Miller;Claudia Moreno;M. S. Neubauer;Steve Oberlin;Alexander R. Olivas;Donald Petravick;Adam Rebei;Shawn Rosofsky;Milton Ruiz;Aaron Saxton;Bernard F. Schutz;Alex Schwing;Ed Seidel;Stuart L. Shapiro;Hongyu Shen;Yue Shen;Leo P. Singer;Brigitta M. Sipocz;Lunan Sun;John Towns;Antonios Tsokaros;Wei Wei;Jack Wells;Timothy J. Williams;Jinjun Xiong;Zhizhen Zhao - 通讯作者:
Zhizhen Zhao
Learning to Segment Images Into Material and Object Classes
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Kenton McHenry - 通讯作者:
Kenton McHenry
Brown Dog: Making the Digital World a Better Place, a Few Files at a Time
Brown Dog:一次处理几个文件,让数字世界变得更美好
- DOI:
10.1145/3219104.3219132 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Sandeep Puthanveetil Satheesan;Jay Alameda;Shannon Bradley;M. Dietze;B. Galewsky;Gregory Jansen;R. Kooper;Praveen Kumar;Jong Lee;R. Marciano;Luigi Marini;B. Minsker;Chris Navarro;A. Schmidt;M. Slavenas;W. Sullivan;Bing Zhang;Yan Zhao;Inna Zharnitsky;Kenton McHenry - 通讯作者:
Kenton McHenry
Towards a Universal, Quantifiable, and Scalable File Format Converter
迈向通用、可量化和可扩展的文件格式转换器
- DOI:
10.1109/e-science.2009.28 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Kenton McHenry;R. Kooper;P. Bajcsy - 通讯作者:
P. Bajcsy
4CeeD: Real-Time Data Acquisition and Analysis Framework for Material-Related Cyber-Physical Environments
4CeeD:材料相关网络物理环境的实时数据采集和分析框架
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Phuong Nguyen;Steven Konstanty;Todd Nicholson;T. O’Brien;A. Schwartz;T. Spila;K. Nahrstedt;R. Campbell;Indranil Gupta;Michael Chan;Kenton McHenry;Normand Paquin - 通讯作者:
Normand Paquin
Kenton McHenry的其他文献
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{{ truncateString('Kenton McHenry', 18)}}的其他基金
NNA Track 1: Collaborative Research: The Permafrost Discovery Gateway: Navigating the new Arctic tundra through Big Data, artificial intelligence, and cyberinfrastructure
NNA 轨道 1:协作研究:永久冻土发现网关:通过大数据、人工智能和网络基础设施导航新的北极苔原
- 批准号:
1927729 - 财政年份:2019
- 资助金额:
$ 90.06万 - 项目类别:
Standard Grant
Collaborative Research: CSSI: Framework: Data: Clowder Open Source Customizable Research Data Management, Plus-Plus
协作研究:CSSI:框架:数据:Clowder 开源可定制研究数据管理,Plus-Plus
- 批准号:
1835834 - 财政年份:2018
- 资助金额:
$ 90.06万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: The PEcAn Project: A Community Platform for Ecological Forecasting
合作研究:ABI 开发:PEcAn 项目:生态预测社区平台
- 批准号:
1457890 - 财政年份:2015
- 资助金额:
$ 90.06万 - 项目类别:
Standard Grant
Collaborative Proposal: ABI Innovation: Model-data synthesis and forecasting across the upper Midwest: Partitioning uncertainty and environmental heterogeneity in ecosystem carbon
合作提案:ABI 创新:中西部上游地区的模型数据综合和预测:划分生态系统碳的不确定性和环境异质性
- 批准号:
1062547 - 财政年份:2011
- 资助金额:
$ 90.06万 - 项目类别:
Continuing Grant
EAGER: Digging into Image Data to Answer Authorship Related Questions
EAGER:深入研究图像数据来回答与作者身份相关的问题
- 批准号:
1039385 - 财政年份:2010
- 资助金额:
$ 90.06万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
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Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
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- 批准号:10774081
- 批准年份:2007
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- 项目类别:面上项目
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