HNDS-I: Collaborative Research: Developing a Data Platform for Analysis of Nonprofit Organizations

HNDS-I：协作研究：开发用于分析非营利组织的数据平台

• 批准号: 2024320
• 负责人: Calton Pu
• 金额: $ 81.36万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2024320&HistoricalAwards=false
• 关键词: HNDS; Collaborative; Research; Developing; Data

Nonprofit organizations are important contributors to the US economy and social well-being. Across a wide range of domains, such as healthcare, childcare, education, job training, and many others, nonprofit organizations serve the public, reduce the costs of government, and improve daily lives. Millions of individuals interact with nonprofit organizations every day. Yet despite these important roles, the high costs of collecting and sharing data have prevented a greater understanding of nonprofit organizations and their collective contributions to society. This project, the Nonprofit Organization Research Panel Project (NORPP) Manager, will create a publicly-accessible, internet-based, and collaborative research platform that will lower the costs of collecting and sharing large amounts of high-quality, multiyear data on nonprofits and their impacts. The platform will strengthen research and evaluation, broaden access to data-intensive research, and lead to more scientifically informed decision-making by organizations, policymakers, and funders and to improved outcomes for the communities they serve.The NORPP platform will offer three primary functions. First, tools and automated processes will allow researchers to recruit and grow representative samples of nonprofit organizations nationally and across communities, states, and regions over time using a common methodology. The platform will automate systematic sampling and weighting procedures to ensure representativeness for studies using the platform, and it will reduce other costs to researchers by automating information flows with organizations in its samples. It will also allow public access among the research and practice communities to download nationally representative data, build additional project-specific samples within the platform, add original survey instruments, and collect original data. Second, the NORPP Manager will support the merger of data developed within the platform with IRS Form 990 Data and other available data on organizations from the population of 501(c)(3) nonprofit organizations that file with the IRS, including geocoded data on organizations’ communities and external environment that are publicly available from Census and other sources. Third, the NORPP Manager will serve as a collaborative repository to manage a bank of core and supplemental questionnaires to facilitate replication studies, improve content validity of measurements, and allow for consistent measurement scales across nonprofit organizational research. This work will increase the efficiency of research on nonprofit organizations by significantly reducing the costs to sample, contact, and survey nonprofit organizations, and to merge those data with existing data with the goal of facilitating the growth of rigorous, data-intensive research across the many social science disciplines that intersect with nonprofit organizational research.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.

非营利组织是美国经济和社会福祉的重要贡献者。在各种领域，例如医疗保健，育儿，教育，职业培训以及许多其他领域，非营利组织为公众提供服务，降低政府成本并改善日常生活。每天都有数百万个人与非营利组织互动。然而，要求这些重要的角色，收集和共享数据的高昂成本阻止了对非营利组织及其对社会的集体贡献的更多了解。该项目是非营利组织研究小组项目（NORPP）经理，将创建一个可公开访问，基于互联网的协作研究平台，该平台将降低收集和共享大量高质量的非营利性多年数据及其影响的成本。该平台将加强研究和评估，扩大对数据密集型研究的访问，并导致组织，政策制定者和资金更科学地知情的决策，并改善他们所服务的社区的成果。Norpp平台将提供三个主要功能。首先，工具和自动化流程将使研究人员能够使用通用方法来招募和成长代表全国以及整个社区，州和地区的非营利组织样本。该平台将自动化系统的采样和加权程序，以确保使用该平台进行研究的代表性，并且通过与样品中的组织自动化信息流来自动化研究人员的其他成本。它还将允许研究和实践社区之间的公众访问能够下载代表数据的全国性，在平台内构建其他特定于项目的样本，添加原始调查工具并收集原始数据。其次，NORPP经理将支持该平台内与IRS形式的990个数据和其他可用数据的数据合并，这些数据来自501（c）（3）非营利组织，这些组织与IRS提交的非营利组织，包括有关组织的社区和外部环境的地理编码数据，这些数据可公开可从人口普查和其他来源提供。第三，NORPP经理将作为管理核心和补充问卷的协作存储库，以促进复制研究，提高测量的内容有效性，并允许在非营利组织中进行一致的测量量表。这项工作将通过显着降低样本，联系和调查非营利组织的样本，联系和调查的成本，并将这些数据与现有数据合并，以支持对许多社会科学的严格研究成长，以支持非营利组织的基础知识，并反映了NSF的宣传，并将这些数据与现有数据相交，并以此为基础，并将这些数据与现有数据合并，以支持NSF的原始任务。和更广泛的影响审查标准。