INGENIO-DQ: Data Quality Assessment for a Precison Medicine Data Model Using an International Common Framework

Cancer is a major public health problem worldwide. In order to broaden the knowledge about this disease, INGENIO is a research project that aims to advance precision medicine by collecting and analyzing harmonised data from multiple sources and institutions. For this purpose, INGENIO implemented a common Electronic Data Capture (EDC) system built using REDCap. However, data collection methods must be homogeneous and evaluable, including data quality protocols to ensure the validity of the data. Thus, this work aims to implement a methodology for data quality assessment in a real-world environment based on the i∼HD framework. It was concluded that the Hospital Universitario 12 de Octubre had manually loaded 317 cases into the INGENIO EDC system from December 2022 to October 2024. The quality of the dataset set approached 95% of completeness and 100% of consistency, being the EDC data model designed and validated according to international guidelines.