Thank you for helping!
Depending on the size of the data, we can create a shared directory on buckeye box. We are developing a research disease registry framework that leverages the OMOP model. In order to demonstrate the framework, we’d like to populate it with non-identified data (data that is not linked to any patients, but makes some sense – for instance having “diabetes”, “cancer”, “creatinine” etc. in the data instead of random character sequences).