Talk
Tuesday, May 9 |
10:45 AM
Frequency of data and code sharing in medicine: Final results of an individual participant data meta-analysis of meta-research studies
Abstract

Numerous meta-research studies have investigated rates and predictors of data and code sharing in medicine. However, these studies have often been narrow in scope, focusing on some important aspects and predictors of sharing but not others. We present the final results of a systematic review and individual participant data (IPD) meta-analysis of 105 meta-research studies collecting information from a total of 2,121,580 primary articles. Complete IPD was retrieved from 91 meta-research studies. Analysis of relevant studies suggest that since 2015, 7% of medical articles declare data to be publicly available (95% CI: 5-11%, 95% PI: 0-28%, k = 28) and 2% of affirmative declarations actually lead to data (95% CI: 1-3%, 95% PI: 0-11%, k = 26), with only declared data sharing rates increasing over time. In contrast, we estimate that both declared and actual code sharing rates remain at less than 1% since 2015.