Data review is the process that leads to find data errors. Following the review process will allow the fixing of these errors, through data cleaning. The ultimate goal is to provide complete, accurate and integrated data that serves as the base to draw correct conclusions.
The aim of this work package is to elaborate further on the clinical data review process and management, which was discussed at the 2nd workshop of ADMIT (in October 2011).
In our Data Review work package, we tried to define clearly a general process/flow for data reviewing in a study/project (pre reviewing phase starting with requirements; reviewing phase; post reviewing phase ending with report).
Recommendations from the group:
The main recommendation is to develop a data review report template.To align the standardization of the data review process with standardization of other data management life cycle processes (e.g. CRF standardization, CDASH, etc.)
As recommended, two data review report templates (detail finding – record level and summary level) will be considered to be developed, based on:
Name : Diana ARANGO 1, Sopheak SOK2
Affiliation : 1 Institute of Tropical Medicine,2Freelance, Cambodia
Contact : darango [@] itg.be, sopheak_sok [@] yahoo.com