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Digital Scholarship: Digital Data Gathering & Analysis

Find Data

Most disciplines have well known repositories where researchers upload and share their data. This practice promotes open science and allows others to potentially reused data for new or collaborative efforts.

Prepare, Clean, & Annotate Data

Before most data is ready for analysis, a certain amount of preprocessing is necessary. The following tools help with various preprocessing steps. Several specifically help create annotations during text mining research.

Analyze Data

Data analysis tools can help derive meaning from your data. The tools listed below help analyze quantitative, qualitative, and/or corpora data.

Visualize Data

Data visualization tools can help you more easily detect important patterns in data and clearly communicate the message of the data to others.

A. General Purpose Tools

Many tools noted above for preparing and analyzing data have visualizing capabilities as well.

B. Network Graphing Tools

C. GIS (Geographic Information Systems help capture, analyze, and visualize data in the context of its surrounding geography)


 L  (Library Supported): This resource is provided by the library. Reach out to your subject librarian for support.

 C  (Campus Supported): This resource is provided by another entity on campus other than the library (e.g., IT). Please reach out to them for support.

Third Party Supported (Third Party Supported): This resource is not specifically supported by the library or broader campus. However, your subject librarian may still be able to offer help.

 $  (User Pays for Resource): In order to use this resource, you will need to pay a one-time or subscription-based fee.