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

联邦统计机构产生的相关、客观、高质量、及时和可获得的信息，对于联邦、州和地方政府以及私营企业和家庭的决策者决策至关重要。该项目将为国家科学院、工程院和医学委员会(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各处的各种统计机构制定的统计方法和衡量标准，并帮助这些机构相互合作，为公共利益服务。CNSTAT还有助于改善可用于经济和社会科学研究的数据，这些数据适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。CNSTAT的大部分工作是通过由志愿者专家小组进行的共识研究来进行的，这些专家小组审查具体的统计计划和措施。它还为统计和研究社区举办研讨会和公开研讨会，并每四年更新一次题为《联邦统计机构的原则和实践》的卷，以帮助保护联邦统计的客观性和可信度。与联邦统计和研究机构以及社会科学和经济学研究社区互动，CNSTAT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项准确且具有成本效益的2020年人口普查，并改进其他对家庭和企业的全国重要调查；帮助国家科学和工程统计中心改进对科学和工程劳动力的调查和创新措施；帮助卫生和公共服务部改进关于老年人和弱势群体的数据。一项正在进行的重要举措是，在目前使用的调查之外，通过利用行政记录和选定的互联网和其他非传统数据来源的数据，促进使用多种数据来源改进联邦统计的标准和方法。在一个人们不太可能回答调查的时代，要想降低联邦统计项目的成本，提高数据质量和及时性，并保持相关性和可信度，以及存在来自非政府来源的相互竞争的统计数据，使用多种数据来源是必不可少的。

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.