Collaborative Research: School Attendance Boundary Information System (SABINS)

合作提案SES-0921794 Savatore J. Saporito威廉和玛丽学院SES-0921279 John R.该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。“虽然地理是K到12教育的一个组织特征，但美国缺乏一个描述居住在学校出勤边界的学生人口的综合数据库。由于缺乏入学边界的空间数据库，研究人员无法开展大规模研究，探讨学校质量对房价的影响、学校社会经济构成对教育成果的影响或学校集水区的种族和经济隔离程度等现象。为了提高地理和人口数据的质量和可获得性，该项目将收集和分发一个新的空间数据库，称为入学边界信息系统。这些数据将包括全国800个最大学区的入学率界限。这些学区包含了美国至少一半的学龄人口。SABINS数据库中的每个入学边界将与2010年十年一度的人口普查、美国社区调查和美国教育部的共同核心数据相结合。将人口统计数据与学校服务区联系起来，将使用户能够确定生活在数千个学区的学生年龄人口的特点。SABINS数据将通过国家历史地理信息系统网站（http：//www.nhgis.org/）分发，使研究人员和教育管理人员能够创建由他们选择的统计信息组成的定制数据集。SABINS数据项目将通过提高对教育不平等的科学理解以及允许地方、州和联邦管理人员更有效地提供教育服务来造福社会。

Collaborative ProposalSES-0921794Savatore J. SaporitoCollege of William and MarySES-0921279John R. WarrenUniversity of Minnesota"This award is funded under the American Recovery and Reinvestment Act of 2009(Public Law 111-5)."Although geography is an organizing feature of K to 12 education, the U.S. lacks an integrated database that describes student populations living in school attendance boundaries. The lack of a spatial database of school attendance boundaries has hindered the ability of researchers to undertake large-scale studies that explore phenomena such as the impact of school quality on housing prices, school socioeconomic composition on educational outcomes, or levels of racial and economic segregation in school catchment areas. To improve the quality and accessibility of geographic and demographic data, this project will assemble and distribute a new spatial database called the School Attendance Boundary Information System (SABINS). The data will consist of school attendance boundaries for 800 of the largest school districts in the country. These school districts contain at least half of the school-aged population in the U.S. Each school attendance boundary in the SABINS database will be integrated with data from the 2010 decennial census, the American Community Survey, and the U.S. Department of Education's Common Core of Data. Linking demographic data with school catchment areas will allow users to determine the characteristics of student-aged populations living in thousands of school zones. SABINS data will be distributed via the National Historic GIS web site (http://www.nhgis.org/), allowing researchers and educational administrators to create customized datasets consisting of statistical information of their choosing. The SABINS Data Project will benefit society by improving scientific understanding of educational inequality and by allowing local, state, and federal administrators to deliver educational services more efficiently.