Profile and Data Quality of DataVerse Japan: A Multi-Institutional Clinical Data Platform for Emergency and Critical...

DataVerse Japan is a multi-institutional clinical data platform that retains all exportable clinical information from each participating center's information systems and generates analysis-ready datasets for each research question. This study aimed to describe its design, participating centers, data composition, and patient profile, and to characterize its data quality.

The platform captures clinical information from each center's information systems, currently the electronic health record (EHR), which incorporates patient data management system (PDMS) data and claims data; reshapes the records into a common five-column long-format (Code, Day, Time, Variable, Value); and stores them as relationally linked. rds objects. We summarized admissions to the participating centers between January 2016 and December 2025.

Four emergency and critical care centers contributed 41,173 admissions from 38,287 individuals and 644,838 patient-days. The platform contains approximately 45 million vital sign records, 30 million laboratory records, and 32 million claims records. Median patient age was 70 years (IQR 49-81), and in-hospital mortality was 16.3%. Admission-level presence coverage, defined as the proportion of admissions with at least one record in a category, varied substantially by category, center, and year and improved after EHR and PDMS upgrades.

DataVerse Japan provides a continuously updated multi-institutional clinical data platform that expands its participating centers over time. The coverage and validation metrics reported here allow investigators to judge whether the platform is suitable for a specific research question in emergency and critical care medicine in Japan.