Collaborative Research: Routine Maintenance of Registration Lists

包含人的信息的数据库需要定期关注，以便在个人移动、死亡、变得不活动或以其他方式更改状态时保持最新。因此，州和地方登记名单的更新必须定期进行，以防止数据的完整性和有用性降低。然而，在整个美国，维护登记名单的特殊做法因当地条件和传统而异。在大流行期间实施的数据更新选择的影响尤其难以理解。因此，该项目调查人口统计数据和登记名单更新之间的关系。在这方面具有社会学意义的变量包括所使用的程序、负责这一过程的官员、社区的社会人口特征以及新冠肺炎的区域影响。为了检验关于这些变量的假设，该项目汇编了一个可作为公共资源的清单维护程序的开放数据库。这可以帮助学者、数据科学家和决策者更好地了解可供选择的菜单，以保护此类列表的可访问性、准确性和安全性。该项目将在美国所有50个州匹配注册名单、个人人口统计数据、社区和官员的社会经济特征、名单维护程序以及新冠肺炎中断和响应的数据。这项研究将使用纵向、多水平和空间分析来测试关于在注册列表上执行维护的不同方式的假设。该项目由社会学项目和既定的激励竞争性研究项目(EPSCoR)共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.