Establishing Patterns and Practices for Dynamic Reporting with REDCap

From the REDCapR section:

The REDCap database system is a critical piece in Oklahoma’s MIECHV evaluation. It serves the two databases used in the community survey, and its recruitment. Our statisticians use primarily R and its software libraries for analysis. Consequently we developed some routines that assisted the import and export operations with REDCap and R.

In the summer of 2013, we noticed an overall gap faced by other statisticians using REDCap and R, and released REDCapR package to help address this unmet need. In its first year, this open-source project was a featured presentation in the national REDCap Conference (slides are available here), and attracted independent contributors and users (many who also receive DHHS funding). The stable version is released on CRAN, while the development version is hosted on the collaborative site, GitHub.

We felt there was a need for guidance how to best use REDCap as the source of dynamic statistical reports, as typically used in CQI (similar to how REDCapR addressed an unmet need for transferred large datasets with REDCap and R). This topic was a second presentation at the 2014 REDCap Conference (slides are available here). The patterns and practices are currently developed and disseminated on a dedicated repository.

REDCap Examples and Patterns on GitHub