Systematic Data Validation
Abstract
Valid data is necessary to derive valid inferences from research and can only be guaranteed through data validation. To facilitate wider adoption of data validation, we identify key principles of data validation, identify specific aspects of data sets that should be checked, and make recommendations for how to address identified issues.
Fields of Study & Subjects
Meta-analysis and systematic reviews
Health Policy Implementation Science
Advanced Causal Inference Techniques
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 28 April 2026
- Document type
- Preprint