Creating a Cloud Based Data Model for School
Boundary Collection
2013 ESRI International User Conference
Presented by Tai ...
School Boundary Geodatabase
History
 Continuation of the SABINS project
 Headed by Prof. Salvatore Saporito, The College...
School Boundaries Collection
Initiative
 Required OMB Clearance
 Collection of school attendance areas for all 13,000+ U...
School District Contact and Data
Tracking Tool
 Tracks all contact between the district and the Census
collection team
 ...
Conceptual Data Model
Attribute Transfer &
Spatial Check
Final Product
CCD Points
School
Boundaries
CCD
School
Points
Orig...
School Boundary Technologies
 Using ArcSDE 10.1sp1
 Centralized Data Repository on Cloud
 Data Replication
 Using ArcG...
Custom Toolbox
 Automated name matching
 QA/QC
 Confirm that all regular schools have a boundary
 Confirm that all att...
School Boundary Collection Workflow
Public School Boundary
Collection and Verification Tool
How the Boundaries Can be Used
 By Districts
 Creation of walk and bike zones
 Simplified boundary re-design
 Support ...
Workflow Issues
 Working with different teams in a variety of
locations
 No shared network
 Data collection from a vari...
Conclusions
 A simplified data model decreases file size
and streamlines QA/QC
 Custom tools have minimized human error,...
For More Information
Andrea Conver
(202) 600-8167
aconver@sanametrix.com
Amy Ramsdell
(703) 842-0177
aramsdell@blueraster....
Creating a Cloud Based Data Model for School Boundary Collection
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Creating a Cloud Based Data Model for School Boundary Collection

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In May, 2012, the U.S. Department of Education (ED) published approximately 300 2009-2010 school boundaries from the Public School Boundary Geodatabase (PSBG) on the School District Demographic Data System (SDDS) Map Viewer (http://nces.ed.gov/surveys/sdds). Using the previous process as a spring board, ED created a new data model for the boundaries covering the 2010-2011 through 2012-2013 school years using ESRI ArcGIS 10.1 for Server and Desktop in addition to custom built Python tools. Improvements included data storage and sharing on the GeoCloud as well as replication and versioning for QA/QC purposes. Having implemented the new data model, we will reflect on work flow issues that arose and helpful tool automation. We will also discuss the future plans for the project.

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Creating a Cloud Based Data Model for School Boundary Collection

  1. 1. Creating a Cloud Based Data Model for School Boundary Collection 2013 ESRI International User Conference Presented by Tai Phan, Andrea Conver, & Amy Ramsdell NCES, Sanametrix & Blue Raster
  2. 2. School Boundary Geodatabase History  Continuation of the SABINS project  Headed by Prof. Salvatore Saporito, The College of William & Mary  David Van Riper, Minnesota Population Center  www.sabinsdata.org  First released in the SDDS Map Viewer in May 2012  2009-2010 school boundaries for the largest 350 districts  http://nces.ed.gov/surveys/sdds/ed
  3. 3. School Boundaries Collection Initiative  Required OMB Clearance  Collection of school attendance areas for all 13,000+ U.S. school districts  Combination of data collection by Census and a “group- sourced” mapping effort  The 2013-2014 school year will serve as a trial year  Census Bureau is summarizing the data by school boundary
  4. 4. School District Contact and Data Tracking Tool  Tracks all contact between the district and the Census collection team  Stores information about the original dataset  Records the date completed and user name for each processing step  Generates a variety of reports  Integrates with the School Boundary Collection app
  5. 5. Conceptual Data Model Attribute Transfer & Spatial Check Final Product CCD Points School Boundaries CCD School Points Original School Boundaries Census Reference Polygons National Public School Boundary Geodatabase Required Datasets
  6. 6. School Boundary Technologies  Using ArcSDE 10.1sp1  Centralized Data Repository on Cloud  Data Replication  Using ArcGIS Server 10.1 on the Cloud  Data visualization  Data dissemination  Python (Arcpy)
  7. 7. Custom Toolbox  Automated name matching  QA/QC  Confirm that all regular schools have a boundary  Confirm that all attributes correspond  Confirm that every geographical area is served by every grade  Check spatial relationship between school point and school boundary
  8. 8. School Boundary Collection Workflow
  9. 9. Public School Boundary Collection and Verification Tool
  10. 10. How the Boundaries Can be Used  By Districts  Creation of walk and bike zones  Simplified boundary re-design  Support foster care initiatives  School feeder patterns  Proximity analysis
  11. 11. Workflow Issues  Working with different teams in a variety of locations  No shared network  Data collection from a variety of sources  Balancing ease of use and data quality  Determining what to collect  Refactoring QA/ QC based on requirements and deliverables
  12. 12. Conclusions  A simplified data model decreases file size and streamlines QA/QC  Custom tools have minimized human error, improved overall data quality, and reduced processing time  Reduce error and processing time by enlisting help from the source  Servers in the cloud increases accessibility
  13. 13. For More Information Andrea Conver (202) 600-8167 aconver@sanametrix.com Amy Ramsdell (703) 842-0177 aramsdell@blueraster.com

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