I was invited to provide a presentation for the Libraries/ITS Advisory Committee (LITSAC) meeting in January, 2020.

The Request: Would you provide an in-depth overview of all of the areas you are spearheading for our next LITSAC meeting in January?

Data Science @ Baylor (overview)

Research Examples
Algorithmic Academics, Baylor Magazine - Winter 2020
Algorithmic Academics, Baylor Magazine – Winter 2020

 

Teaching Examples
School of Engineering & Computer Science
School of Engineering & Computer Science

 

Department of Statistical Science
Department of Statistical Science

 

Research & Pedagogy Support
  • Department of Statistical Science
    • Director of Statistical Consulting Summer/Fall 2020
  • Focus: University Library’s Data Research Administrative Team (DRAT)
    • Administers Library’s Data & Digital Scholarship Program

 

Data Research Administrative Team

Mission
  • Provide educational resources to introduce Baylor students, faculty, and staff to the fundamentals of incorporating data into their research. A special emphasis is placed on research data management and software training in the areas of data visualization, text data mining, and data scripting.
Composition
  • Members: 4 library faculty, 1 instructional designer, 1 marketing representative
  • Teaching Faculty Advisors:
    • Social Sciences (1-year): Lourenco Paz (Economics)
    • Humanities (1-year): Joe Stubenrauch (History)
    • STEM (1-year): Jonathan Cook (Center for Spatial Research)
    • Statistical Sciences (permanent): James Stamey until Consultant hired
  • Library Faculty Advisors:
    • Special Libraries (1-year): Laura French (Armstrong Browning Library)
    • Subject Liaison (1-year): Bill Hair (Theology & Philosophy Librarian)
Programs

In-Person Guide Example

Introduction to Text Data Mining: Armstrong Browning Library's Victorian Collection
Introduction to Text Data Mining: Armstrong Browning Library’s Victorian Collection

 

Online Video Example

    • Awards badges and the status of Baylor Data Scholar
      • Teaching faculty workshops offered by:
        • Brianna Lemmons (SW- Introduction to SPSS)
        • Jonathan Cook (CSR – ArcGIS Desktop: Cholera Outbreak)
        • Karen Lopez-Alonzo (MLC – Text Data Mining for Non-English Materials)
        • John Will (CSR – Machine Learning: Image Identification Using Python)
      • All workshops online component

 

71 Data Scholars in 2018-19
71 Data Scholars in 2018-19

 

Data Scholars 2019-20 (1-22-2020)
Data Scholars 2019-20 (1-22-2020)

 

 

Fundamentals of Data Research Fellowship Program
Fundamentals of Data Research Fellowship Program

 

Additional Library Data & Digital Scholarship Programs (Non-DRAT)

Interactive Displays
University Administrative Support
  • School of Music Enrollment Data
    • Mary Sage, McKenna Lalani
    • Support sessions twice per semester over last two years
  • Undergraduate Public Health Program Enrollment Data
    • Beth Lanning, Director
    • Support sessions twice+ per semester over last three semesters
Upcoming DRAT Plans
  • Ambition: Self-fund Summer Fellowship
    • Fee-based version of Data Scholar Workshops (self-paced), released Spring Break (looking for reviewers in February)
    • Bootcamp for librarians to learn how to offer data & digital scholarship services at their university in January 2021.
Library’s Contribution to Data Science @ Baylor

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