. For each domain, the broad subject areas of the journals to which the corresponding DASs were submitted is reflected by designation of the corresponding "WOL Level 1" category.
In Figure \ref{692056}, it is not only clear that the largest number of domains identified came from the broader Life Sciences category, but that references to unresolved doi.org URLs represented the highest majority. Regardless of domain referenced, the broad subject area with the lowest number of referenced domains was the WOL Level 1 category Physical Sciences & Engineering. Among the most highly referenced resolvable domains, Dryad (datadryad.org), the collection of repositories at the NIH (nih.gov), Github (github.com), and the general use data repository Figshare (figshare.com) represent the top four highly used data sharing and storage locations, respectively. While the next most referenced repository from the Open Science Framework (osf.io) shows a majority of associated DASs from the Social and Behavioral Sciences, the top-referenced data sharing and storage resources noted were referenced largely by researchers from the life sciences.
- In Figure 1, the Mathematics & Statistics WOL category is the only category where doi.org (unresolved) is not the highest - most responses are in github.com
- As well as the most DASs, Life sciences also has the largest range of repositories used (22). Physical Sciences & Engineering uses the least at only 2 repositories.
- Is the fact that Life Sciences has the most DASs down to the fact that proportionally more papers were used in this analysis?
- The results also mirror the results of the Open Research Survey 2019 with Life Sciences being top for Open Data, with Medicine closely behind. I can insert the PDF image i have for this or try and link to it online somewhere?