University of Michigan-Ann Arbor · Social ScienceKim Lab
Seoyoun Kim · Ann Arbor, Michigan
Research Focus
Dr. Seoyoun Kim's lab focuses on improving how aging data is managed and shared among researchers. By creating a structured data infrastructure, the lab aims to facilitate interdisciplinary studies that can lead to better understanding and interventions for aging-related health issues, particularly Alzheimer's disease and other cognitive conditions. The lab also provides training and resources to support researchers using this infrastructure.
agingdata interoperabilityAlzheimer's diseaselongitudinal studieshealth researchdata managementteam sciencemetadatapublic health
Research Aims
3AIM 01Identify and catalog aging data to create structured metadata for better discoverability.
AIM 02Integrate independent longitudinal studies across health themes to enhance collaboration.
AIM 03Operationalize data resources and support tools for the research community through ongoing training.
Skills the Lab Values
data analysismetadata cataloginglongitudinal data managementdata visualizationinteroperability frameworksdata sharing best practicesworkshop organizationstatistical programmingresearch data preservation
Output against the department
Publications56bottom 21% of dept.61st of 77
this lab
most publishedleast published
Citations765bottom 13% of dept.67th of 77
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.