Collaborative Research: School Attendance Boundary Information System (SABINS)

合作研究：学校出勤边界信息系统（SABINS）

• 批准号: 0921794
• 负责人: Salvatore Saporito
• 金额: $ 78.57万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0921794&HistoricalAwards=false
• 关键词: Collaborative; Research; Attendance; Boundary; Information

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.

合作提案SES-0921794Savatore J. SaporitoCollege of William and MarySES-0921279John R. WarrenUniversity of Minnesota“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，但美国缺乏描述学生群体的综合数据库生活在学率 边界。缺乏学校出勤边界的空间数据库阻碍了研究人员进行大规模研究的能力，这些研究探索诸如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访问性，该项目将收集和分发一个名为学校出勤边界信息系统（SABINS）的新空间数据库。该数据将包括该国 800 个最大学区的就学范围。这些学区至少占美国学龄人口的一半。SABINS 数据库中的每个就学范围将与 2010 年十年一次的人口普查、美国社区调查和美国教育部通用核心数据的数据相整合。将人口数据与学校学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征。 SABINS 数据将通过国家历史 GIS 网站 (http://www.nhgis.org/) 分发，允许研究人员和教育管理人员创建包含他们选择的统计信息的定制数据集。 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。