Skip directly to content

Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:NORTH DAKOTA STATE UNIVERSITY
Doing Business As Name:North Dakota State University Fargo
PD/PI:
  • Dane R Mataic
  • (920) 216-6652
  • dane.mataic@ndsu.edu
Award Date:05/17/2021
Estimated Total Award Amount: $ 33,054
Funds Obligated to Date: $ 33,054
  • FY 2021=$33,054
Start Date:06/15/2021
End Date:05/31/2023
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.075
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Collaborative Research: Routine Maintenance of Registration Lists
Federal Award ID Number:2049258
DUNS ID:803882299
Parent DUNS ID:803882299
Program:Sociology
Program Officer:
  • Melanie Hughes
  • (703) 292-7318
  • mehughes@nsf.gov

Awardee Location

Street:Dept 4000 - PO Box 6050
City:FARGO
State:ND
ZIP:58108-6050
County:Fargo
Country:US
Awardee Cong. District:00

Primary Place of Performance

Organization Name:North Dakota State University Fargo
Street:Dept 4000 - PO Box 6050
City:FARGO
State:ND
ZIP:58108-6050
County:Fargo
Country:US
Cong. District:00

Abstract at Time of Award

Databases that contain information about people need regular attention to keep them up-to-date as individuals move, die, become inactive, or otherwise change status. The refreshing of state and local registration lists must therefore take place periodically to prevent the integrity and usefulness of the data from degrading. Across the United States, though, the particular practices used to maintain registration lists vary with local conditions and traditions. The effects of data-updating choices implemented during the pandemic are particularly hard to understand. This project therefore investigates the relationship between demographic data and registration list updates. Variables of sociological interest in this context include the procedures used, the officials responsible for the process, the socio-demographic characteristics of communities, and the regional effects of Covid-19. To test hypotheses about these variables, the project compiles an open database of list maintenance procedures that can serve as a public resource. This can help scholars, data scientists, and decision-makers better understand the menu of alternatives available to protect the accessibility, accuracy, and security of such lists. Across all 50 U.S. states, the project will match data about registration lists, the demographics of individuals, the socioeconomic characteristics of their communities and officials, list maintenance procedures, as well as COVID-19 disruptions and responses. The study will use longitudinal, multilevel, and spatial analysis to test hypotheses about different ways of performing maintenance on registration lists. This project is jointly funded by the Sociology Program and the Established Program to Stimulate Competitive Research (EPSCoR). 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.

For specific questions or comments about this information including the NSF Project Outcomes Report, contact us.