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Updated: Sep 30, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Data and code availability statements in systematic reviews of interventions were often missing or inaccurate: a
Matthew J Page1, Phi-Yen Nguyen1, Daniel G Hamilton2
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Data and code availability statements are rare in systematic reviews. Many authors incorrectly state data sharing is not applicable, highlighting a need to improve data sharing practices in systematic reviews.
Area of Science:
- Health Sciences
- Social Sciences
- Education Research
Background:
- Systematic reviews with meta-analysis are crucial for evidence synthesis.
- Data and code availability are increasingly important for research transparency and reproducibility.
- The frequency and content of such statements in systematic reviews are not well understood.
Purpose of the Study:
- To estimate the frequency of data and code availability statements in systematic reviews with meta-analysis.
- To summarize the content of these statements.
- To investigate the actual sharing of data and code files.
Main Methods:
- A random sample of 300 systematic reviews with meta-analysis of aggregate data was selected from major databases.
- Reviews were screened for data and code availability statements.
- Statement content was coded, and data sharing claims were verified.
Main Results:
- Only 29% of reviews had a data availability statement; 2% had both data and code statements.
- 13% of data availability statements indicated files were available via repositories or websites.
- 42% stated data were available upon request, while 40% implied sharing was not applicable.
Conclusions:
- Data and code availability statements are infrequently included in systematic reviews.
- Authors often misinterpret the applicability of data sharing to systematic reviews.
- Interventions are needed to promote greater data and code sharing among systematic reviewers.
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