A reproducible R workflow to preserve variable and value labels in Stata, SPSS, and SAS datasets for transparent and reproducible health research.

Key Points

• Improved reproducibility supports better health data use in policy decisions, enhancing results in health research.
• Maintaining metadata boosts transparency, with emphasis on using SPSS datasets effectively.
• The approach focuses on efficiency and training in managing digital health research data for clear outcomes.
• Implementing this workflow may increase reliability in health data communications, benefiting program decisions.