Developing a Vision for a 21st Century National Data Infrastructure for Federal Statistics and Social and Economic Research

为联邦统计和社会经济研究制定 21 世纪国家数据基础设施愿景

• 批准号: 2114583
• 负责人: Brian Harris-Kojetin
• 金额: $ 66.11万
• 依托单位: National Academy of Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114583&HistoricalAwards=false
• 关键词: Developing; Vision; 21st; Century; National

This project will convene a series of workshops, beginning in fiscal year 2021, to develop a vision for a new national data infrastructure for the social and behavioral sciences. The existing data infrastructure relies heavily upon statistics collected in surveys and censuses, yet the long-standing survey paradigm is under threat with declining participation rates. There are, however, many other sources of data that increasingly are available, including administrative data from states and local governments, public and private institutions, and businesses. Additional sources of data include 'big data' from the internet, connected devices, and sensors. This project will conduct three interrelated workshops on issues related to the development of a new national data infrastructure. A short consensus report will be written at the conclusion of each workshop. An improved data infrastructure is needed to address pressing social problems. Data and statistics from the federal government and academic researchers, including unemployment rates, crime rates, and people's perceptions of their society, provide the foundation for policymakers, businesses, and individuals to make informed decisions regarding the economy, society, and their lives. An improved national data infrastructure would provide many societal benefits, including improved decision making and more informed public policy.The need for a new data infrastructure has been widely acknowledged as national governments around the world recognize the strategic importance of data. The barriers, challenges, and issues for a new data infrastructure are complex and will require innovative approaches, methods, and tools. It also will require the support and trust of multiple actors, including the public, academia; federal, state, and local governments, and the private sector. The workshops will address these issues by focusing on three specific areas and questions. The first workshop will focus on delineating the scope, components, and key characteristics of a 21st century data infrastructure, including topics such as governance, the technical skills needed, and data sharing. The second workshop will focus on identifying the technology, tools, and capabilities needed for data access, sharing, use, and analysis, while protecting privacy and confidentiality. The third workshop will explore the implications of using multiple data sources for major survey programs, including linking data to survey responses to make surveys less burdensome and more efficient. Following each workshop, the organizing committee will discuss the key themes and their conclusions, which will be summarized in a targeted consensus report.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.

该项目将从2021财年开始举办一系列研讨会，为社会和行为科学的新国家数据基础设施制定愿景。 现有的数据基础设施在很大程度上依赖于调查和普查中收集的统计数据，但长期以来的调查模式正受到参与率下降的威胁。然而，还有许多其他来源的数据越来越多，包括来自州和地方政府、公共和私人机构以及企业的行政数据。其他数据来源包括来自互联网、连接设备和传感器的“大数据”。该项目将举办三个相互关联的讲习班，讨论与发展新的国家数据基础设施有关的问题。每次研讨会结束时将编写一份简短的共识报告。需要改善数据基础设施，以解决紧迫的社会问题。来自联邦政府和学术研究人员的数据和统计数据，包括失业率、犯罪率和人们对社会的看法，为政策制定者、企业和个人做出有关经济、社会和生活的明智决策提供了基础。改进的国家数据基础设施将带来许多社会效益，包括改善决策和更明智的公共政策。随着世界各国政府认识到数据的战略重要性，人们广泛认识到对新数据基础设施的需求。新的数据基础设施面临的障碍、挑战和问题是复杂的，需要创新的方法、手段和工具。它还需要多方参与者的支持和信任，包括公众、学术界、联邦、州和地方政府以及私营部门。讲习班将通过侧重于三个具体领域和问题来解决这些问题。第一次研讨会将重点描述21世纪世纪数据基础设施的范围、组成部分和关键特征，包括治理、所需技术技能和数据共享等主题。第二次研讨会将重点关注确定数据访问、共享、使用和分析所需的技术、工具和能力，同时保护隐私和机密性。第三次研讨会将探讨使用多个数据源对主要调查方案的影响，包括将数据与调查答复联系起来，以减少调查的负担，提高调查的效率。每次研讨会结束后，组委会将讨论关键主题及其结论，并将在有针对性的共识报告中进行总结。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的知识进行评估，被认为值得支持影响审查标准。