POSE: Phase II: Growing GRASS OSE for Worldwide Access to Multidisciplinary Geospatial Analytics
POSE:第二阶段:不断发展 GRASS OSE,以便在全球范围内获得多学科地理空间分析
基本信息
- 批准号:2303651
- 负责人:
- 金额:$ 150万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Software that helps create insights from location-based information (geospatial data) is essential for addressing problems in many fields of national and societal importance, including public health, natural resources, urban planning, and disaster recovery. This project aims to expand and support the community of people developing and using a freely available geospatial software platform called GRASS GIS. For decades, GRASS GIS has allowed researchers around the world to find new solutions to pressing problems, and build on each other's work, by creating and modifying geospatial workflows for a wide range of analyses. The demand for GRASS GIS is increasing and therefore a coordinated effort is needed to grow the number of researchers and other software users at universities, government agencies, and businesses who can help maintain, and improve access to, GRASS GIS. This coordinated effort will make GRASS GIS more sustainable for supporting research with open-source software-by modernizing and expanding software distribution, simplifying how GRASS GIS can be used with other open-source software, improving quality assurance and software security, and accelerating the pace of important updates.The goal of this project is to modernize software infrastructure and strategically grow the GRASS community to achieve a technologically and socially sustainable open-source ecosystem that provides scientists a foundation for novel, interdisciplinary research that will be accessible, reproducible, and ready for further innovations. The project aims to facilitate the adoption of GRASS GIS as a key geoprocessing engine by a growing number of researchers and geospatial practitioners in academia, governments, and industry. To achieve a technologically sustainable ecosystem with broader access to GRASS algorithms and models, the project will modernize and expand software distribution, increase security and quality assurance, and simplify maintenance of GRASS integrations with other software (such as R and QGIS). Streamlined contributor onboarding procedures and both remote and in-person training, mentoring, and promotion activities will encourage researchers to contribute new geospatial algorithms and models. Onboarding and teaching materials that are integrated in automated testing will significantly lower the costs to the developer community for maintaining this sophisticated software environment. The project aims to grow the community of GRASS users, contributors, and developers worldwide through engagement activities such as cross-project meetups, developer summits, community sprints, online and in-person training and one-on-one contributor mentoring. International involvement and diversity in project governance will be addressed by working with the GRASS Project Steering Committee to establish focused work groups that will implement policies ensuring an inclusive environment and high-quality contributions. Expanding the number and diversity of contributors from academia and research, non-profits, and industry will facilitate development of new geoprocessing engine features and ensure long-term maintenance of contributed research models. It will also enable faster development of geoprocessing tools to address major societal challenges linked to a location and place.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.
有助于从基于位置的信息(地理空间数据)中创建见解的软件对于解决国家和社会重要性的许多领域的问题至关重要,包括公共卫生,自然资源,城市规划和灾难恢复。该项目旨在扩大和支持开发人员的社区,并使用称为Grass GIS的免费地理空间软件平台。几十年来,Grass GIS允许世界各地的研究人员通过创建和修改地理空间工作流程进行广泛的分析来找到新的解决方案,并以彼此的工作为基础。对草GIS的需求正在增加,因此需要协调的努力来增加大学,政府机构以及可以帮助维持和改善Grass GIS的企业的研究人员和其他软件用户的数量。这项协调的努力将使Grass GIS更具可持续性,可通过开源软件进行现代化和扩展软件分配,从而简化如何与其他开源软件一起使用,改善质量保证和软件安全性,并加速重要的更新的速度。科学家是新颖,跨学科研究的基础,可以访问,可重现并准备进一步创新。该项目旨在促进越来越多的研究人员和学术界,政府和工业的研究人员和地理空间从业人员采用Grass GI作为关键的地理化引擎。为了实现技术可持续的生态系统,可以更广泛地访问草算法和模型,该项目将现代化和扩展软件分配,提高安全性和质量保证,并通过其他软件(例如R和QGIS)简化草的维护。简化的贡献者入职程序以及远程和面对面的培训,指导和晋升活动将鼓励研究人员贡献新的地理空间算法和模型。集成在自动化测试中的入职和教材将大大降低开发人员社区的成本,以维持这种复杂的软件环境。该项目旨在通过参与活动(例如跨项目聚会,开发人员峰会,社区冲刺,在线和人工培训以及一对一的贡献者指导)来扩大全球草用户,贡献者和开发人员的社区。与Grass Project指导委员会合作建立重点工作组,以确保包容性环境和高质量的贡献,将解决项目治理的国际参与和多样性。扩大来自学术界和研究,非营利组织和行业的贡献者的数量和多样性,将促进新的地理化引擎功能的开发,并确保长期维护贡献的研究模型。它还将使更快地开发地理处理工具,以应对与地点和地点相关的主要社会挑战。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的智力优点和更广泛影响的评估审查标准来通过评估来获得支持的。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Helena Mitasova其他文献
Using detrending to assess SARS-CoV-2 wastewater loads as a leading indicator of fluctuations in COVID-19 cases at fine temporal scales: Correlations across twenty sewersheds in North Carolina
使用趋势分析来评估 SARS-CoV-2 废水负荷,作为精细时间尺度上 COVID-19 病例波动的主要指标:北卡罗来纳州 20 个下水道的相关性
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Kelly Hoffman;D. Holcomb;Stacie Reckling;Thomas Clerkin;Denene Blackwood;Rachelle Beattie;F. L. de los Reyes;Angela R. Harris;Helena Mitasova;N. Kotlarz;Jill R. Stewart;Jacob Kazenelson;Lawrence Cahoon;Arthur Frampton;Mariya Munir;Allison Lee;Steven Berkowitz;Rachel T. Noble;V. Guidry;Lawrence S. Engel;Marc Serre;Ariel Christensen - 通讯作者:
Ariel Christensen
Spatial Interpolation
- DOI:
10.1007/978-0-387-35973-1_1277 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Helena Mitasova - 通讯作者:
Helena Mitasova
Helena Mitasova的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
服务供给方两阶段在线贡献行为的激励机制研究——以公立互联网医院为例
- 批准号:72372016
- 批准年份:2023
- 资助金额:40.6 万元
- 项目类别:面上项目
黄土高原人工刺槐林不同发育阶段水分利用规律与耗水机制
- 批准号:42307415
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
壳斗科植物传播前阶段种子捕食的地理格局及其驱动机制
- 批准号:32371612
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
计及海量多元逆变资源下垂参数动态优化的配电网多阶段协调运行研究
- 批准号:52307091
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
非洲爪蟾IV型干扰素IFN-upsilon在不同发育阶段的抗病毒功能研究
- 批准号:32303043
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
POSE: Phase II: Credentialing for Open Source Ecosystems (COSE): Ensuring Testable Interoperability
POSE:第二阶段:开源生态系统 (COSE) 认证:确保可测试的互操作性
- 批准号:
2303615 - 财政年份:2023
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
POSE: Phase II: Building open source ecosystems in molecular sciences through collaboration and technology
POSE:第二阶段:通过协作和技术构建分子科学领域的开源生态系统
- 批准号:
2303740 - 财政年份:2023
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
POSE: Phase II: Open-Source Precision, High Accuracy and Security Environment (OpenPHASE) For Time Verification, Calibration, and Interoperability
POSE:第二阶段:用于时间验证、校准和互操作性的开源精密、高精度和安全环境 (OpenPHASE)
- 批准号:
2303726 - 财政年份:2023
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
POSE: Phase II: Building an Open-Source Ecosystem for Deep-Learning Hardware-Software Co-Design
POSE:第二阶段:构建深度学习软硬件协同设计的开源生态系统
- 批准号:
2303735 - 财政年份:2023
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
POSE: Phase II: Building the Differential Privacy Ecosystem through OpenDP
POSE:第二阶段:通过 OpenDP 构建差分隐私生态系统
- 批准号:
2303681 - 财政年份:2023
- 资助金额:
$ 150万 - 项目类别:
Standard Grant