Partial Support for the Core Activities of the Committee on National Statistics

部分支持国家统计委员会的核心活动

• 批准号: 1560294
• 负责人: Melissa Chiu
• 金额: $ 100万
• 依托单位: National Academy of Sciences
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560294&HistoricalAwards=false
• 关键词: Partial; Support; Core; Activities; Committee

Relevant, objective, high-quality, timely, and accessible information produced by federal statistical agencies is critical for informing decisions by policy makers for federal, state, and local governments as well as by private businesses and households. This project will provide partial support for the National Academies of Sciences, Engineering, and Medicine Committee on National Statistics (CNSTAT). The Committee was established as a standing committee in 1972 and works to improve the statistical methods and measures produced by the diverse array of statistical agencies spread across the federal government and to help those agencies collaborate with each other to serve the public good. CNSTAT also contributes to improving the data that are available for economic and social science research applied to important national needs, such as understanding the economy, technology and innovation, public health, education, welfare, and other areas. CNSTAT conducts much of its work through consensus studies carried out by panels of volunteer experts, which review specific statistical programs and measures. It also conducts workshops and public seminars for the benefit of the statistical and research community and updates every 4 years a volume titled "Principles and Practices for a Federal Statistical Agency," which helps protect the objectivity and credibility of federal statistics.Interacting with the federal statistical and research agencies and the social and economic sciences research community, CNSTAT will identify priority topics for study involving federal statistics and statistical methods. For example, CNSTAT studies will help the Census Bureau design an accurate and cost-effective 2020 census and improve other nationally important surveys of households and businesses; help the National Center for Science and Engineering Statistics at NSF improve surveys of the science and engineering workforce and measures of innovation; and help the Department of Health and Human Services improve data on the elderly and disadvantaged people. An important ongoing initiative is to foster standards and methods for using multiple data sources to improve federal statistics by drawing on data from administrative records and from selected Internet and other non-traditional data sources in addition to the surveys currently used. The use of multiple data sources is imperative to hold down costs of federal statistical programs, improve data quality and timeliness, and maintain relevance and credibility in an era in which people are less likely to respond to surveys and there are competing statistics from non-government sources.

联邦统计机构提供的相关、客观、高质量、及时和可获取的信息对于联邦、州和地方政府的决策者以及私营企业和家庭的决策至关重要。该项目将为美国国家科学院、工程院和医学院国家统计委员会（CNSTAT）提供部分支持。 该委员会成立于1972年，是一个常设委员会，致力于改进分布在联邦政府的各种统计机构制定的统计方法和措施，并帮助这些机构相互合作，为公众利益服务。国家统计局还致力于改进经济和社会科学研究所需的数据，这些研究应用于重要的国家需求，如了解经济、技术和创新、公共卫生、教育、福利和其他领域。国家统计局的许多工作是通过志愿专家小组进行的协商一致研究进行的，这些专家小组审查具体的统计方案和措施。它还为统计和研究界举办讲习班和公共研讨会，并每四年更新一卷题为“联邦统计机构的原则和做法”的文件，这有助于保护联邦统计的客观性和可信度。国家统计局将确定涉及联邦统计和统计方法的优先研究课题。 例如，CNSTAT的研究将帮助人口普查局设计一个准确和具有成本效益的2020年人口普查，并改善其他国家重要的家庭和企业调查;帮助NSF的国家科学和工程统计中心改善科学和工程劳动力的调查和创新措施;并帮助卫生和人类服务部改善老年人和弱势群体的数据。一项正在进行的重要举措是，除目前使用的调查外，还利用行政记录、因特网和其他非传统数据来源的数据，促进使用多种数据来源的标准和方法，以改进联邦统计。在人们不太可能对调查作出回应、非政府来源的统计数据相互竞争的时代，使用多种数据来源对于降低联邦统计项目的成本、提高数据质量和及时性、保持相关性和可信度至关重要。