In this presentation, Matt Davis, Ph.D., Associate Professor in the U-M School of Nursing provides an overview of the strengths and drawbacks of several types of secondary data sources (including surveys, electronic health records and medical claims data), points to valuable data options for mental health research, and offers several practical examples to help you get started.
Data Management and Sharing Plans (DMSPs) are increasingly becoming a requirement when submitting research proposals. Even when not required, proposals with DMSPs are often scored higher than proposals without one. Developing a DMSP helps researchers plan technology use, create a more accurate budget, and assist in the Information Assurance (IA) review process, if needed, for their study. DMSPs are recommended for all studies utilizing wearable and mobile technologies.
Standardized data flow for research studies that utilize mobile technologies at the University of Michigan. It depicts how data typically moves from a smart watch or wearable device, into University resources behind a firewall, and finally lands on long-term storage for preservation and analytics.
This REDCap project is used in the Morning Light Stress Study, whose principal investigator is Dr. Helen Burgess, Ph.D. The project consists of over 50 forms and surveys with 1,257 questions that cover eConsent, demographics, medical history, mental health instruments, and satisfaction surveys.