  Paper publications are no longer the only form of research product. Due to
recent initiatives by publication venues and funding institutions, open access
datasets and software products are increasingly considered research products
and URIs to these products are growing more prevalent in scholarly
publications. However, as with all URIs, resources found on the live Web are
not permanent. Archivists and institutions including Software Heritage,
Internet Archive, and Zenodo are working to preserve data and software products
as valuable parts of reproducibility, a cornerstone of scientific research.
While some hosting platforms are well-known and can be identified with regular
expressions, there are a vast number of smaller, more niche hosting platforms
utilized by researchers to host their data and software. If it is not feasible
to manually identify all hosting platforms used by researchers, how can we
identify URIs to open-access data and software (OADS) to aid in their
preservation? We used a hybrid classifier to classify URIs as OADS URIs and
non-OADS URIs. We found that URIs to Git hosting platforms (GHPs) including
GitHub, GitLab, SourceForge, and Bitbucket accounted for 33\% of OADS URIs.
Non-GHP OADS URIs are distributed across almost 50,000 unique hostnames. We
determined that using a hybrid classifier allows for the identification of OADS
URIs in less common hosting platforms which can benefit discoverability for
preserving datasets and software products as research products for
reproducibility.
