to store uploaded (ex. consent forms, analysis code) or generated export files (SAS, SPSS, R, Stata, Excel); 4) a RIGHTS table containing specific researcher rights and expiration settings; and 5) a flat DATA table used to store all collected data for the study (one row per subject with all collected data fields stored in columns). In studies requiring greater than 1500 data fields per subject, multiple DATA tables are used with a 1:1 relationship between tables linked on the subject identifier field. Although simplistic, this data model is easy to reproduce and tailor for individual research studies during the project creation process and has proven adequate for a wide variety of clinical and translational research studies seen in multiple academic research environments.
