Data Management
UCR provides support in data management for clinical studies and registry‑based research. Early planning of data collection, structure, sharing and quality assurance is essential for study success.
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Data management plan (DMP)
Development of data management plans describing how data will be collected, managed, stored and shared. We recommend early data flow design to clarify data sources, transfers and responsibilities.
Data collection systems
Selection of appropriate electronic data capture (EDC) systems for clinical studies, including both commercial solutions and REDCap for academic studies.
Learn more about REDCap and other data collection systems
Database and eCRF design
Design and configuration of databases and case report forms (CRFs) based on the study protocol, with a focus on usability. Training and support are provided together with monitoring teams for site use.
Data collection and validation
Ongoing data review and validation to ensure data consistency and quality. This includes data quality checks and data reconciliation across sources.
Data cleaning and quality assurance
Data review after study completion and before analysis.
Conducted in close collaboration with the study team, particularly monitors and biostatisticians, before preparing analysis datasets.
Contact us
Need support with data management for your study? Get in touch to learn more.