The mission of the Baylor Libraries’ Digital Scholarship Program is to integrate digital research tools and techniques into campus research and curricula.


 Text Data Mining
Data Visualization Geospatial Analysis
Parse and structure words and phrases within texts in order to identify patterns, trends, topics, similarities, and more. Represent data in a symbolic visual environment in order to help explore and understand datasets (interactive visualization) or to convey a story or point of view (infographic). Use Geographic Information Systems (GIS) tools to question, analyze, and interpret spatial (location-based) and non-spatial (tabular) data to understand relationships, patterns, and trends.
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Most recent 25 posts

  • Mining Social Media Content
    New Guide: Mining Social Media Content Need to mine data from Twitter, Facebook, Reddit, or Instagram? This guide highlights the top tools you can use to begin mining content.
  • Visualizing Locations Mentioned in The Browning's Letters
    Source: The Letters of Robert Browning and Elizabeth Barrett Barrett, Vol. 1 (of 2) via Project Gutenberg Methodology: Scroll past the three visualizations below. Map visualization of mentioned locations (circle radius proportional to frequency of mentions) …
  • Software for Text Data Mining
    What is Text Data Mining (briefly): Text Data Mining is the structuring of unstructured text content, followed by the analysis of that unstructured content. Structuring text content applies some sense of order that can then be analyzed. Examples can include organizing ngram counts, parts of speech tagging, and named entity extraction. Types of analysis can…
  • Mapping Happiness: Happiest Places on Earth
    Where is *your* happiest place? Use this online tool to find out. Select from available criteria, set the direction, and assign weights. Data Source: Complete Collection, v1.01 Background: In 2014 I held a GIS workshop leading participants through an ArcGIS Desktop exercise using suitability analysis to create…
  • Lady Bear Champions! What's Twitter Saying?
    Here is a quick demo of text data mining using Tweets about the Baylor Lady Bears Basketball Team. Click the full-screen button on the bottom-right of the iframe below to view in full screen. NVivo 12 Plus was used to auto-generate the themes and sentiment. No effort was made to review or improve the themes…
  • Baylor Data Scholars: Who Are They?
    Data Scholar Website: https://blogs.baylor.edu/digitalscholarship/data-scholar-program-spring-2019/ The Baylor Libraries Data Scholar Program is a series of hands-on workshops designed to help  increase your understanding about digital research methods (techniques), hardware and software tools, and available data sources. _______________ Who is participating in this program? And who has become a Data Scholar in our first year, 2018-2019 (as…
  • Power BI: Baylor Creations Digital Display
    First published Power BI project we worked on was a digital interactive display for Baylor Creations 2018. Baylor Creations showcases publications and other scholarly output of our faculty. This Power BI-driven report has been…
  • ImageMagick + Ghostcript: Batch Convert PDFs to Images
    Problem: You may have a plethora of PDF images that you need to convert to an image format, such as JPG. Too many to convert manually using Adobe Acrobat. Solution in Three Steps (in a Windows environment): (1) Install ImageMagick (https://www.imagemagick.org/) (2) Install Ghostscript (https://www.ghostscript.com/) (3) Using PowerShell or Command Line, run the following ImageMagick…
  • HR Staffing Analytics Simulation (MGT 4337)
    HR Staffing Analytics Simulation An interactive exploratory dashboard prepared for MGT 4337 - Human Resource Staffing and Employee Relations Each student in two sections of this undergraduate management course recorded scores for 14 variables useful in hiring decisions. This anonymous dashboard allows students now to (1) view mean scores for…
  • Archive Team: The Twitter Stream Grab (Historic Twitter Content)
    "A simple collection of JSON grabbed from the general twitter stream, for the purposes of research, history, testing and memory. This is the "Spritzer" version, the most light and shallow of Twitter grabs. Unfortunately, we do not currently have access to the Sprinkler or Garden…
  • How Readable is That Text?
    Ever glance at an article and wonder how complicated it is to read? Or look at a whole heap of texts and wonder which are the most complicated? Are publications in your field of study more or less complicated to read than other fields? Or have…
  • 2018 DRIVE Scholar Presentations
    Title: 2018 DRIVE Scholar Presentations (recorded) Digital Research & Innovative Visual Explorations 2018 DRIVE Scholar Presentations Welcoming Remarks: John Wilson, Library Dean Introductions: Joshua Been, Digital Scholarship Librarian 1. How are education researchers evaluating qualitative research Rachel Renbarger, PhD Candidate, Educational Psychology 2. Sources and Ambient Concentration…
  • Topics from Baylor Student Reflections on Leadership
    Topics from Baylor Student Reflections on Leadership Project Title: Topics from Baylor Student Reflections on Leadership Description: 20 LDS 1301 student blogs were mined for student reflections on the following four topics: What does leadership mean to you? Leadership Identity Development Timeline What’s your personal mission/philosophy? How…
  • JOU 4340 Writing and Editing for Online Media - 2018 Sep 14 12:08:46
    Video: JOU 4340 Writing and Editing for Online Media - 2018 Sep 14 12:08:46   Description: Class #2 During the second class you will learn how to visualize Census data using Social Explorer and Hurricane Cone polygons from the National Hurricane Center. https://researchguides.baylor.edu/c.php?g=855125&p=6124089 Instructors: Ellen Hampton Filgo Joshua Been Course Faculty Instructor: Megan Henderson
  • JOU 4340 Writing and Editing for Online Media - 2018 Sep 12 12:05:36
    Video: JOU 4340 Writing and Editing for Online Media - 2018 Sep 12 12:05:36   Description: Class #1 During the first class, you will learn about "interviewing" or asking questions of data, using a visualization of 2016 presidential election data from Texas. https://researchguides.baylor.edu/c.php?g=855125&p=6124089 Instructors: Ellen Hampton Filgo Joshua Been Course Faculty Instructor: Megan Henderson
  • Topics from Tweets Mentioning Baylor University
    Project Title: Topics from Tweets Mentioning Baylor (08/2018)   Description: All Tweets mentioning Baylor University (excluding Baylor, Scott, & White and Baylor College of Medicine), and excluding retweets, during August 2018 were assigned themes and keywords using NVivo 12 Autocoding. Using Tableau Desktop, themes are visualized as…
  • Visualizing Election Data Using Tableau
    Tutorial Title: Visualizing Election Data Using Tableau Desktop (2016 Presidential Election Data by VTD in Texas) (Works with Tableau Public)   https://researchguides.baylor.edu/tableau-election Description: Generate interactive maps and scatter plot visualizations to explore the relationships between the 2016 Presidential election and demographic data as well as geography. Included…
  • Dynamic Scatter Plots with Microsoft Excel
    Tutorial Title: Scatter Plotting with Microsoft Excel (including dynamic dropdown menus for X and Y axes)   https://researchguides.baylor.edu/excel-scatter-plot Description: This tutorial guides researchers through creating and styling scatter plots using Microsoft Excel. Create a Basic Scatter Plot Direct vs. Inverse Relationship Regression (Trend) Line Dynamic Dropdown…
  • Fuzzy Mapping in 15th Century England
    Project Title: Gendered Connections: Monastics, Priests, Women, and John Mirk's Festial in Fifteenth-Century England Description: Mine John Mirk's Festial manuscripts for instances of gendered language by mapping the fuzzy (approximate) location in 15th Century England.   Procedure: Identify 15th Century Map: The Counties of England,…
  • Digital Scholar Instruction Programs
    The Baylor University Libraries now offer two Scholar Programs designed to help Baylor researchers attain the digital scholarship skills required by many employers, as well as many academic research projects. Both programs are spearheaded by the Libraries' Research & Engagement department and coordinated by the Digital Scholarship Librarian. Data Scholar Program (new for Fall 2018!)…
  • Signature Academic Initiatives: Baylor in the Americas
    Project Title: Signature Academic Initiatives: Baylor in the Americas Background: The Baylor Libraries were asked to create visualizations to support Baylor in the Americas, one of five signature academic initiatives in Baylor's proposed Academic Strategic Plan (see presentation, beginning slide…
  • Social Media Mining for Marketing & Advertising
    The workshop this afternoon on mining and analyzing social media content from Twitter and Facebook was fantastic! Mining Twitter content, we calculated consumer sentiment, created pie charts, word clouds by sentiment, and LSI topic modelling by sentiment. (Ouch, apologies for the adult words that snuck into the negative sentiment tweets!) Mining Facebook, we calculated conversation,…
  • PAD Emotional State Model Applied to Scholarly Literature
    To help commemorate Martin Luther King, Jr. 50, as well as Black History Month, we are holding a hands-on digital scholarship workshop tomorrow (Tuesday, 02/20/18). The experimental nature of this workshop is to implement the PAD emotional state model, comprised of Pleasure (Valence), Arousal, and Dominance. Workshop Title: Using JSTOR for Digital Humanities: The Baptist…
  • Story: International Church Ministry & Digital Scholarship
    This is a fantastic story and I am happy to be able to share it here. This story demonstrates the role of libraries as facilitator and the amazing results that students can achieve through hard work and…
  • Visualizations from the Baylor Religion Survey Wave V
    Project Title: Visualizations from the Baylor Religion Survey Wave V   Overview of Trend Lines: Choosing the best trendline for your data Question Prompts: How many discrete answers are given for the question: How much would you say you trust people in general? How many survey…