Studies of data availabilty statements have been used to assess the impact and effectiveness of data sharing policies at journals \cite{Federer_2018} \cite{Stall_2019} \cite{Hardwicke_2018}. Some concluded that data sharing practices among researchers are changing but fall short of what seem to be, based on the rhetoric, the study authors' expectations \cite{Wallach_2018} \cite{Federer_2018} \cite{Rowhani_Farid_2016}. This tells us about the importance of setting reasonable expectations at publishers and journals and supporting those with robust policy and process, and suggests how fair and implementable policies can be designed and might be successful. It also tells about the pace of change in different communities of researchers as they become familiar with, interested in, able to, and required to share research data. 

Methods

We used [machine learning] to analyse XX,000 data availability statements submitted by research authors to XXXX Wiley journals between DATE and DATE. We