Data Management

Data Management

Data management is crucial in obtaining good quality reports.

It contains several steps, starting with

  • preparation of CRF or eCRF
  • set-up of automatic checks for an eCRF
  • manual querying
  • handling potential external files (with defining interfaces)
  • coding of adverse events and medications
  • application of potential imputation techniques
  • (safety) adverse event reconciliation. 


Phase IV Study running in 4 countries diabetes mellitus.

Noninterventional study in rheumatoid arthritis for a Belgian pharma company.

Several Phase I crossover trials in multiple indication for a Freanch pharma company.