Skip to main content
Advertisement

< Back to Article

Assessment of transparency indicators across the biomedical literature: How open is open?

Fig 2

Validation of algorithms for Data sharing, Code sharing, COI disclosure, Funding disclosure, and Protocol registration in 6,017 PMC articles from 2015 to 2019.

The displayed performance was assessed in subsamples from 6,017 PMC articles: 189 research articles for Data sharing (100 positive, 89 negative), 291 research articles for Code sharing (110 positive, 181 negative), 325 articles for COI disclosure (100 positive, 225 negative), 326 for Funding disclosure (100 positive, 226 negative), and 308 for Protocol availability (161 positive, 147 negative). All algorithms displayed high accuracy (>94%) and low error in prevalence estimation (≤3.6%) compared to manual assessment. Error, difference between true and estimated prevalence; NPV, negative predictive value; PPV, positive predictive value (precision); Prevalence (true), manual estimate of proportion of articles with indicator; Prevalence (estimated), automated estimate of proportion of articles with indicator. The data underlying this figure can be found on OSF at http://www.doi.org/10.17605/OSF.IO/E58WS. COI, Conflict of interest; OSF, Open Science Framework; PMC, PubMed Central.

Fig 2

doi: https://doi.org/10.1371/journal.pbio.3001107.g002