  Scientists, governments, and companies increasingly publish datasets on the
Web. Google's Dataset Search extracts dataset metadata -- expressed using
schema.org and similar vocabularies -- from Web pages in order to make datasets
discoverable. Since we started the work on Dataset Search in 2016, the number
of datasets described in schema.org has grown from about 500K to almost 30M.
Thus, this corpus has become a valuable snapshot of data on the Web. To the
best of our knowledge, this corpus is the largest and most diverse of its kind.
We analyze this corpus and discuss where the datasets originate from, what
topics they cover, which form they take, and what people searching for datasets
are interested in. Based on this analysis, we identify gaps and possible future
work to help make data more discoverable.
