Sokol, R., Walton, M., Lee, D., Seewald, L., Medina Del Toro, V., Farooqui, M., Sallabank, G., Zimmerman, M., Edberg, M., Wang, Y., Zakrison, T., Tung, E. L., Hillegass, W. B., Vearrier, L., Zhang, L., Kutcher, M. E., Blachman-Demner, D., & Carter, P. M. (2024). Advancing science to prevent firearm violence in communities: A process for harmonizing studies to develop research infrastructure. Prevention Science. https://doi.org/10.1007/s11121-024-01723-5
Abstract
The Community Firearm Violence Prevention Network (CFVP Network), funded by the National Institutes of Health (NIH), supports a network of research projects that develop and test interventions through collaborations with community partners to prevent firearm violence, injury, and mortality. The CFVP Network presents a unique opportunity to accelerate the science of preventing firearm injuries. The data harmonization workgroup of the CFVP Network led the process of aligning studies across the three unique inaugural network projects, with particular attention to how the CFVP Network could address current gaps in the science. The goal of the data harmonization workgroup was to align study measures, assessment timelines, and data management and archival processes across projects to enable robust cross-project analyses that accelerate the science of preventing firearm injuries. To accomplish this goal, the workgroup established the infrastructure to facilitate cross-project data collection, data sharing and archiving, and analyses. Among the three inaugural network projects, the workgroup’s process resulted in harmonizing two assessment timepoints (baseline and one year post-implementation) and 60 constructs (with 31 identical standardized constructs). These harmonized products provide opportunities for novel analyses across the network projects. We expect that the harmonized study infrastructure developed through this process will catalyze future research focused on preventing firearm injury, including and extending beyond CFVP Network projects. The CFVP data harmonization workgroup’s process can serve as a model for future networks that seek to build the science in a particular area.