Data Services

Research Data Management & Curation

Do you have questions about how to manage your research data?

Research Data Services (RDS) is an interdisciplinary organization committed to advancing research data management practice on the UW–Madison campus. RDS focuses on providing researchers with the tools and resources that support their efforts to store, analyze, and share data.

To learn more about working with Research Data Services, visit the RDS website.

Get Access to Data

The UW–Madison Libraries have licensed a number of full-text, bibliographic, and other data sets that may be suitable for text mining or similar research uses. We may be able to work with you to gain access to these data sets in a format suitable for your research. Please contact your liaison librarian or UW Digital Collections Center staff to see how we can help you.

Clarivate Web of Science Data Set

The Big Ten Academic Alliance (BTAA) has negotiated a contract with the publisher Clarivate for each member institution to receive a copy of the raw data for its Web of Science database.

This data set is intended to be used for academic research and data science projects, such as numerical or statistical analyses of data elements. Data is restricted to the use by current faculty, staff, students and researchers at UW-Madison and who are based in the United States. The terms and conditions for use of the data set include:

  • Commercial use of the data set or derived data is strictly prohibited
  • Distribution of the data set or derivative data sets created from the original is prohibited
  • The intellectual property rights for the data or derivative data sets are owned by Clarivate and may not be shared
  • After affiliation with UW-Madison ends, individuals may no longer use the data set [1]

Learn more about the dataset.

Digital Scholar Lab

Digital Scholar Lab is an online tool for collecting data sets comprised of content from the UW-Madison Libraries’ subscriptions to Gale Primary Sources databases. Those data sets can then be analyzed using text analysis and visualization tools built into the Digital Scholar Lab. Digital humanities analysis methods include: Named Entity Recognition, Topic Modelling, Parts of Speech, and more.

Learn more about Digital Scholar Lab.

DataCite DOIs

If you are a current user of the Libraries facilitated DOI service and need to mint or update an existing DOI, please do so via this form.