Alicia Hofelich Mohr is the Research Support Coordinator in the Liberal Arts Technologies and Innovation Services (LATIS) at the University of Minnesota Twin Cities. Her research team provides consultation, workshops, and support for faculty and students across the research lifecycle, from data management planning through collection, analysis, sharing. Dr. Hofelich Mohr specializes in designing research workflows, handling human subjects data, de-identifying research data, and teaching reproducible data analysis in quantitative tools, such as R and SPSS. She has attended trainings on De-Identification Methodology from the Health Information Trust Alliance (HITRUST) and Data Management & Curation from the Inter-University Consortium for Political and Social Research (ICPSR). She serves as a curator for social science data and statistical code in the Data Repository for the University of Minnesota (DRUM).
Educational Background
- Ph.D.: Psychology, University of Michigan, 2012 -
- M.A.: Statistics, University of Michigan, 2012 -
- B.A.: Psychology (Biochemistry, Neuroscience), Hope College, 2007 -
Specialties
- Research data management
- Data analysis
- Reproducible Research using R