To ensure the transparency and reproducibility of scientific discoveries, more and more journals have adopted data policies to encourage data sharing. Many previous studies have investigated the prevalence of journal data policies (JDPs) in certain disciplines. However, it is still unclear 1) how the prevalence of JDPs has changed over time and varied by discipline; and 2) when trying to interpret JDPs, what aspects researchers are most concerned about. This capstone project reviewed 27 relevant publications and built a toolkit that contains a dataset and a meta-analysis report so users can easily understand the development of JDPs.