Digital Humanities: Finding Data

Google's Kaggle platform allows users to explore, analyze, and share quality data.
Types of Datasets. Kaggle supports a variety of dataset publication formats, but we strongly encourage dataset publishers to share their data in an accessible, non-proprietary format if possible.

The University of California at Irving Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.

The home of the U.S. Government’s open data, Data.gov is managed and hosted by the U.S. General Services Administration.

The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate.

Hosted at the popular online discussion and link posted website Reddit, r/Datasets is a place to share, find, and discuss datasets.

Note: Miami's subscription to SimplyAnlytics allows only 4 simultaneous users. SimplyAnalytics enables users to develop interactive thematic maps and reports using thousands of demographic, business, and marketing data variables.

Statista provides users with an innovative and intuitive tool for researching quantitative data, statistics and related information. The database integrates data on over 80,000 topics from over 18,000 sources on a single platform.

The Oxford Text Archive (OTA) provides repository services for literary and linguistic datasets. In that role the OTA collects, catalogues, preserves and distributes high-quality digital resources for research and teaching

The Visualizing English Print project at the University of Wisconsin-Madison has produced corpora based on the Text Creation Project (TCP) associated with Early English Books (EEBO).

Molino Labs provides Spanish-language corpora created from newspapers.

A free, open source, powerful tool for working with messy data.

The HathiTrust Research Center makes available a toolkit of services for text data mining.

A text analytics platform aimed at teaching and enabling a generation of researchers to text mine. Two of ITHAKA’s services, JSTOR and Portico, are the initial sources of content for the new platform.

The Intertextual Hub is an experimental digital humanities reading environment that aims to situate specific documents in their broader context of intertextual relations, whether in the form of direct or indirect borrowings, shared topics with other texts or parts of texts, or other kinds of lexical similarity.