RESUMEN
INTRODUCTION: Clinical trial data management (DM) conducted during outbreaks like that of Ebola virus disease (EVD) in West Africa, 2014-2016, has to adapt to specific, unique circumstances. CTU Bern was asked to set up a safe data capture/management system that could be launched within a few weeks and cover two different vaccine trials. This article describes some of the challenges we faced and our solutions during the two different trials. METHODS: Setting up a DM system was split into four phases/tasks: (1) quick set-up of the (electronic) data capture system (EDC) and mobile infrastructure in Bern, (2) moving the EDC and infrastructure to Conakry, Guinea and implementation of a local data management centre (DMC), (3) running the DMC, and (4) data cleaning. The DMC had to meet the following criteria: (1) quick implementation, (2) efficient maintenance and handling of data, and (3) procedures to guarantee data quality. The EDC (REDCap) was setup as a local area network. In order to ensure high data quality, double data entry, and then review of inconsistencies and offline plausibility checks were implemented. RESULTS: From the start of CTU Bern's involvement to the productive EDC took 11â¯weeks. It was necessary to adapt processes for dealing with data continuously throughout the trial conduct phase. The data management team processed 171,794 case report form pages from a total of 14,203 participants in the period between March and December 2015. CONCLUSION: Data management is a key task supporting trial conduct. For trials in emergency situations, many of our approaches are suitable, but we also provide a list of aspects that might be done differently.