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Cross-Cutting Improvements: The Development of a Geospatial Big-Data Infrastructure Supporting Socially and Environmentally Relevant Spatial Decision-Making and Analysis

跨领域改进：支持社会和环境相关空间决策和分析的地理空间大数据基础设施的开发

基本信息

批准号：
2226312
负责人：
Timothy Mulrooney
金额：
$ 113.58万
依托单位：
North Carolina Central University
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：
2023-01-01 至 2025-12-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2226312&HistoricalAwards=false
关键词：
Cross Cutting Improvements Development Geospatial

项目摘要

This research coordination network will foster GIS (geographic information systems) and open data science support for faculty and student researchers in a regional cluster of HBCU (Historically Black Colleges and Universities), MSI (minority serving institutions), and local communities. The project will be led by a team of researchers across multiple departments in the newly formed College of Health and Science (CHAS) at North Carolina Central University together with three other minority serving institutions in the region. This research coordination network will serve both the regional and larger scientific communities by advancing open science practices and principles in the development and deployment of data infrastructure and services needed to support the use of geospatial data in socially and environmentally relevant research activities.Geospatial data analysis has been proven to advance the understanding of social determinants of health affecting COVID-19 incidence rates, as well as a wide variety of other socially and environmentally relevant research issues. This project will coordinate the creation of a large number of new GIS data layers and make them available to the larger multidisciplinary research community in accordance with FAIR data sharing principles together with rich, standards-based and machine-readable metadata. Georeferenced data from disparate sources and disciplines will be enriched and normalized by standardized descriptive information based on a metadata schema, driven by the community of experts and intended end-users and compatible with international and federally mandated ISO 19115 standard and utilizing metadata profiles developed and used by state and local governments.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Directorate for Education and Human Resources and the HBCU Excellence in Research Program.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.

这个研究协调网络将促进GIS（地理信息系统）和开放数据科学支持，为HBCU（历史上的黑人学院和大学）、MSI（少数民族服务机构）和当地社区的区域集群的教师和学生研究人员提供支持。该项目将由北卡罗来纳中央大学新成立的健康与科学学院（CHAS）以及该地区其他三家少数民族服务机构的多个部门的研究人员组成的团队领导。该研究协调网络将通过在开发和部署数据基础设施和服务方面推进开放科学实践和原则，为区域和更大的科学界提供服务，以支持在与社会和环境相关的研究活动中使用地理空间数据。事实证明，地理空间数据分析可以促进对影响COVID-19发病率的健康社会决定因素的理解，以及对各种其他社会和环境相关研究问题的理解。该项目将协调创建大量新的GIS数据层，并根据FAIR数据共享原则以及丰富的、基于标准的、机器可读的元数据，将其提供给更大的多学科研究界。来自不同来源和学科的地理参考数据将通过基于元数据模式的标准化描述性信息进行丰富和规范化，由专家社区和预期的最终用户驱动，与国际和联邦强制的ISO 19115标准兼容，并利用由州和地方政府开发和使用的元数据配置文件。该奖项由高级网络基础设施办公室颁发，由教育和人力资源理事会以及HBCU卓越研究计划共同支持。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。