Visualization Tools for Science of Science Queries

No sessions are currently scheduled for this event. To request a new session, please contact


This session will provide a practical introduction to backend programming for beginners, which will establish a baseline of knowledge to participate in upcoming classes including “Big Data Tools for Citation Analysis” and “Using CADRE for Digital Humanities and Computational Social Science Research.”

The instructor will provide an introduction to writing basic scripts using Python in Jupyter Notebook to create data visualizations of bibliometric data from the Microsoft Academic Graph dataset. All computing in the session will take place in the cloud through the CADRE platform, and participants will gain a basic understanding of CADRE and other skills to build upon in more advanced sessions.

No experience with programming is necessary to participate in this session.

Learning Outcomes

By the end of this class, students will be able to:

Use 1 - 2 tools to create visualizations of citation data


Ethan Fridmanski is the Data Services Librarian at Indiana University Bloomington Libraries. Ethan assists faculty and students with data at all phases in the data lifecycle. His services consist of instructional workshops, one on one data and methods consultations, as well as assistance with IU's data repositories such as DataCORE. In addition to his work in the Libraries, Ethan also works on the CADRE project as a member of the Technical Advisory Board and works on education and outreach to the broader CADRE community.

Ethan is an expert with a variety of programming languages and statistical software such as R, Python, SQL, and STATA among others. He has methodological expertise in a variety of computational methods including time series, survey methods, and network analysis.

Academic library: 4 year and graduate
This webinar is presented in Eastern time.