What is Data Literacy?
Data literacy is the ability to read, understand, analyze, and communicate data as information. Data literacy builds upon information literacy with a focus on understanding what data is, how to handle and use data, how to interpret graphs and visualizations of data, and how to effectively draw conclusions from data to inform decisions. This course is intended to establish a basic understanding of data literacy skills.
Data Literacy Intsructional Content
Getting Started with Data Literacy
If you're looking to get your students basic, introductory data literacy instruction, our microcourses are a great place to start! The microcourse on data literacy introduces students to a definition of data literacy, an applicable approach to data literacy, and why it is important to develop our data literacy skills.
- Students receive a new badge for each completed micro course. There are microcourses focused on other literacies that we support (information, media, and making). Complete all four and receive the "Baylor University Libraries' Literacies" badge.
- Expected time commitment for the data literacy module is 10-15 minutes.
- Faculty will find instructions and prepared assignments in Canvas Commons (just search "literacies").
- Learners may self-enroll at: baylor.instructure.com/enroll/WWXKDL
Beyond the Microcourse
Baylor Libraries offers a self-paced, online program called the Data Scholar Program for you to learn valuable skills within the field of data and digital scholarship, such as data visualization, text-data mining, and data scripting. The Baylor Libraries also offers a summer fellowship opportunity for a more intensive mentorship in data and digital scholarship skills. Read on for more information!
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(1) Take Workshops, (2) Pass Quizzes, (3) Become a Data Scholar Eligibility: Anyone at Baylor. The Baylor University Library’s Data Scholar Program is a collection of self-paced data & digital scholarship video modules designed specifically to meet the needs of the Baylor research community. Modules are offered in the following 5 categories: (1) Data Visualization, (2) Qualitative Data Analysis/Text Data Mining, (3) Data Scripting, (4) Research Data Management, and (5) Finding Secondary Data.
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Fundamentals of Data Research - Summer Fellowship Applications Accepted in March every year Eligibility: Faculty in humanities disciplines. Grad students in any discipline. This intensive Summer Fellowship program is a broad introduction to applied research methods and tools involving both structured (e.g., data tables) and unstructured (e.g., text, multimedia) data. Fellows comes into the program with a specific research project in mind that they're working on, and they will be mentored by the Baylor Libraries' Data & Digital Scholarship team over the summer to help incorporate digital scholarship tools and methods into their project. Fellows will spend part of the summer working through Canvas modules to learn various data and digital scholarship skills and tools, as well as learn about research data management and the research data lifecycle. Fellows will work closely with the Baylor Libraries' Data & Digital Scholarship team over the summer to integrate and apply these new skills into their research projects. At the culmination of the fellowship, all Fellows will prepare a short presentation highlighting their research project and how they integrated the data research tools and methods they learned about over the summer. |
