Data Science: Overview

Useful for research where you need to know both current and historical trends in computing.
Includes articles, conference proceedings, reviews and abstracts from the Association of Computing Machinery.

Information and current trends in high technology.
Covers topics such as computer science, programming, artificial intelligence, cybernetics, information systems, robotics, and software.

Provides access to Compendex, a comprehensive bibliographic database of scientific and technical engineering research, covering all engineering disciplines, and other technical fields, including data science.

Comprehensive index of the major journal literature in the sciences, social sciences, and humanities. Useful for interdisciplinary science research.

Information on topics in various areas of research in and outside of the sciences.
Includes peer-reviewed academic articles as well as news, editorials, images, interviews, and more.

Useful for literature reviews, reviewing concepts and methods at point of need, as well as for learning from experts on a global scale.
Books, case studies, learning paths, interactive tutorials, audio books and videos from O’Reilly's global conferences.
Includes programming, IT networking, project management, graphic design, business strategy, code snippets, certification preparation materials, practice exercises, training videos, and more.

re3data ("ree-three-data") is a global repository of research data. It's an excellent site for easily finding data repositories in a various topic areas and downloading data. You can search by keyword or browse datasets by subject, topic, or country.

Science In Context provides contextual information on significant science topics. This database shows how scientific disciplines relate to real-world issues. This is a good resource for gaining a foundational understanding of a variety of scientific concepts and their applications.