Research Data Centers: The Rocky Mountain Research Data Center

该项目将在落基山地区建立一个联邦统计研究数据中心。科罗拉多大学博尔德分校的落基山研究数据中心(RMRDC)将是一个受限和安全的环境，该地区的社会科学家和卫生研究人员将改善对机密联邦统计数据的访问。科罗拉多-博尔德大学附近的几乎所有主要研究机构都将使用和支持该中心，包括怀俄明大学、科罗拉多州立大学、科罗拉多-丹佛大学、安舒茨医学院、科罗拉多-科罗拉多斯普林斯大学、国家大气研究中心、国家可再生能源实验室和科罗拉多州政府。该项目将促进跨机构研究，并使该地区的科学家能够研究国际经济学、环境科学和公共卫生等领域的新问题。即将进行的研究将扩大对地区问题的了解，使联邦和地方政府机构以及该地区的公民受益。由于该地区拥有以信息为基础、知识密集型的经济，从联邦统计数据中获得的研究进展将刺激商业创新。即将进行的研究将促进科学知识的发展，同时为联邦统计系统带来切实的好处。该项目将加强尖端社会统计方面的研究生培训，并支持跨多个学科的专业劳动力发展。学生、教师和其他研究人员将向地方和国家组织转移大量技术专业知识，因为他们熟悉受限的联邦数据，并建立分析大型和复杂数据集的技能。RMRDC将强调经济学、地理学、社会学和公共卫生的几个重要领域。一个即刻的项目将研究美国生产向海外转移如何影响详细地点和职业的就业和工资，并考虑到贸易引发的国家和国际创新影响。第二组将考虑矿产和能源开采如何影响该地区的州和地方经济。这些问题和其他问题将使用制造业普查、制造业年度调查和纵向商业数据库的数据来解决。空间科学家将使用有限的人口普查数据来改进对小地理区域的人口估计，并改进为美国人口普查局传播数据的方法。研究不断变化的环境条件和极端事件对人类人口的影响将得益于获得更详细的社会经济和人口数据。健康科学家将结合受限的人口数据和国家健康统计中心的健康数据，就当地的社会经济特征如何影响健康行为和结果提出问题，例如青少年出生率的下降，早期死亡率的增加，以及西班牙裔社区的保护性影响。

This project will establish a Federal Statistical Research Data Center in the Rocky Mountain region. The Rocky Mountain Research Data Center (RMRDC) at the University of Colorado-Boulder will be a restricted and secure environment where social scientists and health researchers in this region will have improved access to confidential federal statistical data. Nearly all major research institutions near the University of Colorado-Boulder will use and support the center, including the University of Wyoming, Colorado State University, University of Colorado-Denver, the Anschutz Medical Campus, the University of Colorado-Colorado Springs, the National Center for Atmospheric Research, the National Renewable Energy Laboratory, and the Colorado State Government. This project will facilitate cross-institutional research and allow scientists in the region to study new questions in such areas as international economics, environmental sciences, and public health. The research to be conducted will expand knowledge about regional issues, benefiting federal and local government agencies and citizens of the area. Because this region has an information-based, knowledge-intensive economy, commercial innovation will be stimulated by the research advances gained from the federal statistical data. The research to be conducted will advance scientific knowledge and simultaneously deliver tangible benefits to the federal statistical system. The project will enhance graduate-level training in cutting-edge social statistics and support specialized workforce development across multiple disciplines. Students, faculty, and other researchers will transfer considerable technical expertise to local and national organizations as they become familiar with restricted federal data and build skills in analyzing large and complex datasets. Several important areas of economics, geography, sociology, and public health will be emphasized at the RMRDC. One immediate set of projects will study how the movement of U.S. production overseas affects employment and wages across detailed locations and occupations, accounting for trade-induced national and international innovation impacts. A second set will consider how mineral and energy extraction influences state and local economies within the region. These and other issues will be addressed using data from the Census of Manufacturing, the Annual Survey of Manufacturing, and the Longitudinal Business Database. Spatial scientists will use restricted census data to improve population estimates for small geographic areas and to enhance methods of disseminating data for the U.S. Census Bureau. Studies of the effects of changing environmental conditions and extreme events on human populations will benefit from having access to more detailed socioeconomic and demographic data. Health scientists will combine restricted population data with health data from the National Center for Health Statistics to ask questions about how local socioeconomic characteristics affect health behavior and outcomes, such as declines in teenage birth rates, increased early life mortality, and the protective influences of Hispanic neighborhoods.