Evaluating data sharing statements in high yield psychiatry journals: A systematic review
Year: 2025
Type: review
Study design: Systematic Review
Abstract: Background: Psychiatric disorders affect approximately one in eight people worldwide, with economic impacts projected to reach $6 trillion by 2030. Effective data sharing is crucial for advancing psychiatric research, yet its practice remains inconsistent due to ethical and regulatory challenges. This review aimed to evaluate the prevalence and determinants of data sharing statements (DSS) in psychiatric research. We focused on how journal policies, study design, and other factors influence DSS inclusion in clinical trials and observational studies, examining trends and barriers to transparency and reproducibility.
Authors: Varughese, Nathan, Dennis, Abby, Duncan, Jacob, Hagood, Alex, Oldham, Eli, Chaudhry, Mahad, Dennis, Brody, Paul, Eli, Ford, Alicia Ito, Vassar, Matt
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7110605482
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