We analysed 145,000 data availability statements (DASs) submitted by research authors to 176 Wiley journals between 2013 and 2020, from the same dataset we previously used to identify the impact of new policies at journals on trends in the use of DASs. We looked at URLs and DOIs contained within those DASs to identify the most common repositories (and other locations) used by researchers to store and share the new research data they create. We resolved DOIs, and captured destination for DOIs (as well as URLs). We mapped destinations to research disciplines, and ranked them to show data services and repositories most often used by researchers who choose to submit to Wiley journals. We share this information as source data and in dynamic figures here, as inspiration and direction for journal teams and research authors.

Data availability statements can provide useful information about how researchers actually share research data. We used unsupervised machine learning to analyse 124,000 data availability statements submitted by research authors to 176 Wiley journals between 2013 and 2019. We categorised the data availability statements, and looked at trends over time. We found expected increases in the number of data availability statements submitted over time, and marked increases that correlate with policy changes made by journals. Our open data challenge becomes to use what we have learned to present researchers with relevant and easy options that help them to share and make an impact with new research data.