Brandon DL Marshall, PhD
The Data and Research Methods (DRM) Core team is led by Dr. Brandon Marshall and his team at Brown University School of Public Health. The team is available to assist COBRE Project Leaders and Pilot Project Investigators with methodological, analytic, and data-related support and infrastructure.
The DRM Core has the capacity to store and manage proposed epidemiological and interventional data. In addition to acting as a data repository, the DRM Core team will provide analytic resources and guidance through all phases of project startup, implementation, and publication.
The DRM team also supports Project Leaders and Pilot Project Investigators by helping with elements of study design and to analyze data in an efficient and secure manner. Additionally, the DRM team works closely with the Translation and Transformation Core to create data visualizations and plain-language summaries of research to increase the public health impact and traction within the Rhode Island community.
- To provide a sustainable resource to help COBRE Investigators overcome methodological and analytic challenges that are commonplace in studies involving drug using populations or studies investigating opioid-related harms
- To support the career development of COBRE Investigators by enabling them to focus on the substantive and clinical challenges of their studies, and take advantage of existing methodological and analytic expertise within the COBRE DRM Core
- Support through the exchange of ideas around methods, computation, and analyses related to the study of overdose and opioid-related harms; this can happen on an individual basis, or through topic-focused workshops open to the network of COBRE Investigators
- Input on study design, study conduct, study instruments, IRB and IAA submissions, exposure/outcome assessment, statistical analyses, and data visualizations for COBRE affiliated projects
- A centralized repository to house data from projects within the COBRE, and offer resources to support proposed linkages and records matching to population-based datasets (e.g., statewide overdose fatalities)