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Data sharing policy

This journal encourages and enables authors to share data that supports the research publication, where appropriate, and to interlink the data with other published articles. Research data refers to the results of observations or experiments that validate the research findings. To facilitate reproducibility and data reuse, this journal encourages authors to share their software, codes, models, algorithms, protocols, methods, and other useful materials related to the project. Data generated through the participation of subjects and the public should be put to maximum use by the research community and, whenever possible, translated to deliver patient benefits. Data sharing benefits numerous research-related activities: reproducing analyses, testing secondary hypotheses, developing and evaluating novel statistical methods, teaching, aiding the design of future trials and meta-analyses, and helping to prevent error, fraud, and selective reporting. To promote more transparent and reproducible research, we ask authors to submit a Data Availability Statement in the manuscript to help readers understand how they can access the data, code, and other resources that support the research findings.

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