Partial Support of 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

基本信息

  • 批准号:
    2217307
  • 负责人:
  • 金额:
    $ 100万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-02-15 至 2028-01-31
  • 项目状态:
    未结题

项目摘要

This project will provide partial support for the Committee on National Statistics (CNSTAT) at the National Academies of Sciences, Engineering, and Medicine. CNSTAT's mission is to advance the quality of statistical information, contribute to the statistical policies and coordinating activities of the federal government, and help provide a forward-looking vision for the federal statistical system and national statistics more broadly in service of the public good. Established in 1972, CNSTAT harnesses knowledge and expertise across disciplines to provide trusted, independent advice to the nation on complex and challenging data and statistical issues in the 21st century. CNSTAT conducts much of its work through consensus studies carried out by panels of volunteer experts, and their reports often are used to inform policy and practice, establish a research agenda, or review specific statistical programs, measures, and infrastructure. CNSTAT also advances the conversation around important statistical and data issues by convening experts at public workshops and seminars to engage in focused discussion and explore new ideas and solutions for the benefit of the statistical and research community. CNSTAT’s flagship publication, Principles and Practices for a Federal Statistical Agency, is in its 7th edition and is updated every 4 years. The guidance in this publication helps protect the objectivity and credibility of federal statistics, educates the executive and legislative branches of government on the important public good provided by strong federal statistical agencies, and provides a code of ethics for the agencies.CNSTAT's activities will contribute to improving the data and data infrastructure 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. Relevant, objective, high-quality, timely, and accessible information produced by federal statistical agencies and offices is critical for informing decisions by policy makers in federal, state, and local governments as well as by private businesses, communities, and households. Interacting with NSF, federal statistical agencies, relevant programmatic and research agencies, and the social and economic sciences research community, CNSTAT will identify priority issues for study involving federal and national statistics, data, and statistical methods. Specific studies will continue to build a vision for a 21st century data infrastructure for federal statistics and social and economic research by exploring the implications of blending multiple data sources for major survey programs, data equity, and approaches for data governance and protecting privacy. Examples of work underway include integrating federal statistics on household income, wealth, and consumption and examining disclosure methods for protecting privacy in census and survey programs. CNSTAT also will update Principles and Practices for a Federal Statistical Agency for its 8th edition to be issued by early 2025.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.
该项目将为国家科学,工程和医学学院的国家统计委员会(CNSTAT)提供部分支持。 CNSTAT的使命是提高统计信息的质量,为联邦政府的统计政策和协调活动做出贡献,并帮助为联邦统计体系和国家统计数据提供更广泛的愿景,以更广泛地为公共利益服务。 CNSTAT成立于1972年,利用跨学科的知识和专业知识,以在21世纪就复杂和挑战数据和统计问题为国家提供可信赖的独立建议。 CNSTAT通过志愿专家小组进行的共识研究进行大部分工作,其报告通常用于为政策和实践提供信息,建立研究议程或审查特定的统计计划,措施,措施和基础设施。 CNSTAT还通过召集公共研讨会和SEMIARS的专家来进行围绕重要的统计和数据问题的对话,以参与集中讨论,并探索新的思想和解决方案,以实现统计和研究社区的好处。 CNSTAT的旗舰出版物,联邦统计机构的原则和实践,已在其第七版中,每4年更新一次。 The guidance in this publication helps protect the objective and credibility of federal statistics, educates the executive and legislative branches of government on the important public good provided by strong federal statistical agencies, and provides a code of ethics for the agencies.CNSTAT's activities will contribute to improving the data and data infrastructure 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区域。联邦统计机构和办公室生产的相关,客观,高质量,及时,可访问的信息对于为联邦,州和地方政府以及私人企业,社区和家庭的决策者提供决定至关重要。 CNSTAT与NSF,联邦统计机构,相关的程序和研究机构以及社会和经济学研究界的互动,将确定有关研究涉及的联邦和国家统计,数据和统计方法的优先问题。特定的研究将继续为联邦统计数据和社会和经济研究建立21世纪数据基础设施的愿景,通过探索将多个数据源融合到主要调查计划,数据权益以及数据治理和保护隐私的方法的含义。正在进行的工作示例包括整合有关家庭收入,财富和消费的联邦统计数据,并检查了保护人口普查和调查计划中隐私的披露方法。 CNSTAT还将为2025年初发布的第8版更新联邦统计机构的原则和实践。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响审查标准,认为通过评估被认为是珍贵的支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Melissa Chiu其他文献

A means to an end – Microarray platform comparison for profiling whole-genome amplified and unamplified cancer DNA
  • DOI:
    10.1016/j.cancergen.2011.08.002
  • 发表时间:
    2011-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Min Fang;Jamie Schoenborn;Scott McElhone;Cynthia Friedman;Grace Randhawa;Siobhan O'Hara-Larrivee;Melissa Chiu;Kathleen Kroeger
  • 通讯作者:
    Kathleen Kroeger
Unique Challenges and Discoveries From Chromosome Genomic Array Testing (CGAT) in the Setting of Hematopoietic Cell Transplantation
  • DOI:
    10.1016/j.cancergen.2013.05.005
  • 发表时间:
    2013-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Min Fang;Scott McElhone;Cynthia Friedman;Melissa Chiu;Shalini Pereira
  • 通讯作者:
    Shalini Pereira
Is ophthalmic follow-up of premature infants necessary?
  • DOI:
    10.1016/j.jaapos.2014.07.058
  • 发表时间:
    2014-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Saurabh Jain;Charles Hennings;Melissa Chiu
  • 通讯作者:
    Melissa Chiu

Melissa Chiu的其他文献

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{{ truncateString('Melissa Chiu', 18)}}的其他基金

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
  • 财政年份:
    2016
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant

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