The Socrata data platform hosts tens of thousands of government datasets. Governments large and small publish data on crime, permits, finance, healthcare, research, performance, and more for citizens to use. While this large corpus of government data is already accessible via opendatanetwork.com, this API is a powerful way to access and explore all public metadata published on the Socrata platform. In this report, I analyze the Socrata Open Data Network metadata as a text dataset and perform text mining techniques using the R library tidytext. I will preform word co-occurrences and correlations, tf-idf, and topic modeling to explore the connections between the datasets. I will seek to find if datasets are related to one other and find clusters of similar datasets. Since the Socrata Open Data Network provides several text fields in the metadata, most importantly the name, description, and tag fields, I can show connections between the fields to better understand the connections between all datasets in its corpus.