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Library Partnerships to Support Data Analytics Engineering Programs

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Beneficial Partnerships: Enhancing Library Programming with Strategic Collaborations

Tagged Division

Engineering Libraries

Page Count

12

Permanent URL

https://peer.asee.org/33064

Download Count

4

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Paper Authors

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Wendy Mann George Mason University

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Wendy Mann is the Director of the Digital Scholarship Center (DiSC) at George Mason University Libraries.

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Theresa M. Calcagno George Mason University

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Theresa Calcagno is the Librarian to the Volgenau School of Engineering at George Mason University in Fairfax, VA. Prior to that, Calcagno was a Research Librarian for an engineering project consulting firm.

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Deborah Ann Kermer George Mason University

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Deborah Ann Kermer is the Data Services Research Consultant at the Digitial Scholarship Center in the George Mason University Libraries. She assists faculty and students with quantitative and qualitative data, methods, and software.

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Abstract

In the last decade, the number of graduate programs in Data Analytics has grown exponentially. Academic libraries have had to, or will need to, determine how to support the growing student population in this new area of academia, as well as acquire new resources and develop new services and tools for analytics students. Data Analytics and Data Science programs are particularly challenging to support because they are trans-disciplinary—incorporating areas such as statistics, computer science and business.

At George Mason University (Mason) the Data Analytics Engineering (DAEN) program is a master’s degree program in the Volgenau School of Engineering. This program started in 2014 and enrolls students in 10 different concentrations including business analytics, cyber security analytics, financial engineering, predictive analytics and more. This paper discusses how the Engineering Librarian collaborated with the Mason Libraries’ Digital Scholarship Center (DiSC) to identify and develop ways to help meet the needs of this unique group of students.

Mann, W., & Calcagno, T. M., & Kermer, D. A. (2019, June), Library Partnerships to Support Data Analytics Engineering Programs Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/33064

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