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EAGER: Development of software citation methodology for open source computational science

EAGER: Development of software citation methodology for open source computational science
EAGER:开源计算科学软件引用方法的开发
批准号:
1448633
负责人:
Louise Kellogg
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2017-08-31

项目摘要

项目成果

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中文摘要
翻译
软件在现代研究中发挥着越来越重要的作用。在许多物理科学中,包括地球物理学、天体物理学和高能物理学,研究涉及在实验和观测工作困难的极小或极大的时间和空间尺度上发生的现象。在这些学科中,数值模拟、计算模拟和数据分析需要提高知识水平。许多研究人员和开发人员单独或在团队中工作,有时需要数年或数十年的时间来开发用于建模和数据分析的专门软件,以推进研究和教育。当有用的代码被公开共享时,这些努力广泛地使研究人员社区受益,但是,缺乏既定的引用软件的方法是在个人开发人员或团队之外共享源代码的一个重大障碍。软件引用为开发者提供了适当的归属,并促进了结果的可重复性。该项目汇集了图书馆学、计算科学、科学和技术研究以及计算密集型物理科学(地球物理)的跨学科专家团队,以开发和测试解决这一问题的新方案。该团队将评估社区的需求,并将开发一个软件工具,用于引用描述软件环境的开源软件,并将其嵌入到软件开发人员和研究人员都将使用并发现可用的工作流中。利用计算地球物理社区作为实践社区,该项目试点了一个新的软件引用过程,该过程将确定和解决社区的需求,并消除采用的障碍。地球物理研究界已经开发了广泛的科学软件套件,以解决诸如地震系统科学等重要社会问题的基础研究。通过增强对科学进步至关重要的开源软件的可见性和可信度,该项目将增加软件开发投资的科学影响。通过为开发软件的科学家的努力提供一种方法,该项目将鼓励有才华的开发人员和计算研究人员的职业发展,从而鼓励开发和传播质量更好、文档更完善的软件。更好的质量和更好的文档化软件可以被适当地引用,这有助于解决科学研究中再现性的挑战,需要验证和确认建模结果。最后,提高软件的可用性和可用性将为其他科学家和研究人员提供新的工具和技术来解决他们最具挑战性的研究问题,从而实现新的发现。
英文摘要
Software plays an increasingly important role in modern research. In many physical sciences, including geophysics, astrophysics, and high energy physics, research addresses phenomena occurring on extremely small or large time and space scales where experimental and observational work are difficult. In these disciplines numerical modeling, computational simulation, and data analysis are required to advance knowledge. Many researchers and developers work individually or in teams, sometimes over years or decades, to develop specialized software for modeling and data analysis, to advance both research and education. These efforts broadly benefit communities of researchers when useful codes are shared openly, but, the lack of established means to cite software is a significant barrier to sharing source code beyond the individual developer or team. Software citation gives appropriate attribution to the developers, and promotes reproducibility of results. This project brings together an interdisciplinary team of experts in library science, computational science, science and technology studies, and a computationally-intensive physical science (geophysics) to develop and test new solutions to this problem. The team will assess the needs of the community, and will develop a software tool for citation of open source software that describes the software environment and that is embedded into workflows that software developers and researchers alike will use and find usable. Using the computational geophysics community as the community of practice this project pilots a new process for software citation that will identify and address the community's needs and remove barriers to adoption. The geophysics research community has developed extensive scientific software suites to address fundamental research on societally important problems such as earthquake systems science. By enhancing the visibility and credibility of open source software that is essential to scientific progress, the project will increase the scientific impacts of software development investments. By providing a means to credit the effort of scientists who develop software, the project will encourage the career development of talented developers and computational researchers and hence, encourage development and dissemination of better quality and better-documented software. Better quality and better documented software that can be appropriately cited helps address the challenge of reproducibility in scientific research, needed to verify and validate modeling results. Finally, improved availability and usability of software will give other scientists and researchers new tools and techniques to solve their most challenging research problems, enabling new discoveries.
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CI-TEAM Impl: Dynamic Interdisciplinary Research Environment to Engage and Develop a Cyber-Ready Workforce in the Geosciences, Social Sciences, and Computer Sciences
  • 批准号:
    1135588
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2011
  • 负责人:
    Louise Kellogg
  • 依托单位:
Geoinformatics: Facility Support: Computational Infrastructure for Geodynamics
  • 批准号:
    0949446
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $817.5万
  • 财政年份:
    2010
  • 负责人:
    Louise Kellogg
  • 依托单位:
CMG Collaborative Research: Fast and Efficient Radial Basis Function Algorithms for Geophysical Modeling on Arbitrary Geometries
  • 批准号:
    0934330
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2009
  • 负责人:
    Louise Kellogg
  • 依托单位:
Scales of mantle heterogeneity from 3D numerical models of mixing
  • 批准号:
    0810291
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $27.0万
  • 财政年份:
    2009
  • 负责人:
    Louise Kellogg
  • 依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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: