Work

Automating the Integration of Longitudinal Clinical Trial Data Using REDCap

Year: 2026

Type: book-chapter

Abstract: Efficient data exchange is crucial for accelerating clinical research and reducing duplicative efforts. Inconsistencies in field names and coded values (e.g., male = 1, female = 0) across CSV files hinder interoperability and reuse for secondary analyses. We successfully integrated the multicenter, longitudinal Depression DC clinical trial data into REDCap using the API, by metadata driven R workflow for automated data integration.

Source: Studies in health technology and informatics

DOI: 10.3233/shti260427

Authors: Sowjanya Batchu, Gerrit Burkhardt, Ulrich Mansmann, Marcel Müller

Institutions: Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie, Ludwig-Maximilians-Universität München

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W7161990272

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