Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
In order to help minimize spread of the coronavirus and protect our campus community, Cowles Library is adjusting our services, hours, and building access. Read more...
Data Citation Index
Data Citation Index
Indexes data studies and datasets across the humanities, social sciences, and sciences and links the datasets/studies with published literature.
Get Help Now
Have a product question? Search our Knowledgebase or open a support case with our Customer Care teams.
What is Data Citation Index?
One search interface for over 380 data repositories worldwide
Clarivate Analytics evaluates and selects the best data repositories for content, persistence and stability, and searchability. Data that we index is organized into three document types to enhance searchability and discoverability:
- Repository: This resource consists of data studies and data sets and provides access to the data.
- Data Study: This is a description of the study or experiment with the associated data used in the study. Includes serial or longitudinal studies over time.
- Data Set: A single or coherent set of data, or a data file, provided by the repository as part of a collection, data study, or experiment.
- Software: A computer program or package in source code or compiled form, which can be installed on another machine and used to support & analyze research.
Why should data be a part of my literature search?
Due in large part to government mandates to make data freely accessible, there are increasing numbers of data repositories being created worldwide and filled with data by researchers. As part of your literature search, data will provide a more comprehensive picture of the research being undertaken in your topic or field.
By itself, the benefits of data are obvious: data can be used by other researchers with different objectives, results can be reproduced more easily and accurately, researchers receive the credit they’re due, and data producers have a new channel by which to promote their work.
Data Citation Index: Introduction