Building Quality into the Data Migration Process

Authors

• C Lassnoff
• M Duvenhage
• J Sun
• C Whalen
• M Tartakovsky

Abstract

The Office of Cyber Infrastructure and Computational Biology (OCICB), of the National Institute of Allergy and Infectious Diseases (NIAID) at NIH, provides data management support for international clinical research studies. During August 2013, it became necessary to migrate an ongoing study from an open source clinical data management system (CDMS) that was slated for retirement to the standard CDMS for Division of Intramural Research (DIR) studies. The OCICB team was tasked with developing a model to migrate the study data in accordance with regulatory guidelines as well as good clinical data management practices. Various issues were addressed during the migration to comply with the target system’s functional requirements. The source database structure was reviewed and replicated as closely as possible in the target database. Data anomalies were identified and addressed while data was exported and mapped from the source to the target database. All of the data was imported to a development database in the target system, where quality control was performed. After the completion of the quality control process, the data was imported to a production database and released to the study team for use. Current data processing by the study team within the target CDMS indicates that the migration was successful as well as a considerable decrease of feedback with regard to the inadequacies of the open source clinical data management system.

Scientific Focus Area: Research Support Services

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