Systematic Data Validation

Authors: Elise Rubinstein, Jamie DeCoster, Garam A. Lee, Michelle Francis
Cited by: 0

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