(P 307) STRATEGIES FOR DATA QUALITY IN TARPSWG RETROPERITONEAL SARCOMA REGISTRY (RESAR)

Objective: RESAR is a resource created by TARSPWG members for prospective data collection on patients with primary retroperitoneal sarcoma managed at referral centers (NCT03838718). Launched in 2017 with local prospective data collection, the registry then was later centralized and, since 2023, data are entered directly online. As of 06/2025, 3,384 de-identified patient records are included. Data consistency and completeness, across >30 centers are supported by specific quality procedures, herein described.

Methods: The joint efforts of participating centers and IT teams built a comprehensive dataset. Whenever possible, predefined values list ensured consistency. Robust IT support enabled local data import into a centralized platform, facilitating data integration. Semiautomatic quality checks flagged disallowed values, temporal inconsistencies and outlier values to enhance data accuracy and integrity at entry.

Results: Data entry onto the RESAR platform is a collaborative process involving interdisciplinary teams and requires accurate interpretation of complex datasets. An Executive Committee keeps local PIs informed via newsletters and provides SOPs for data entry. Following the March 2025 review, we recognized the need to establish a core of mandatory data fields to define minimum criteria for patient evaluability, as established by the RESAR Governance Committee. We also introduced a three-month time limit between patient enrollment and data entry, to ensure prospectivity. Regular webinars will support data entry teams and promote adherence to these standards. The aim is to establish open communication among personnel involved in data entry across centers, to achieve a shared standard for data completeness, ultimately ensuring high data quality. Publication of a position statement on pathology specimen evaluation and standard reporting is also underway to ensure data consistency across centers. In addition, routine quality checks on incomplete or outdated follow-up will be sent to local PIs by the RESAR Clinical Research Coordinator.

Conclusion: A dedicated team for long-term data entry is key to RESAR’s data quality and studies relevance. Data reliability is enhanced by ongoing self-training and interventions across the international network of collaborating institutions.