*Research Data Services @ Georgia State University Library: TEACHING with Data & Statistics

Assign GSU Data Ready! Badges for required or extra credit -- no extra work for you!

Assign GSU Data Ready! Badges -- Students can attend live workshops or recorded workshops on their own time, go to the GSU Library's Stacks course catalog to join/"enroll" in the appropriate GSU Data Ready! Badge course, and complete our quiz learning assessments to earn badges. Once students receive a badge, have them share it with you for verification by either (1) having them forward their Badgr email notification, or (2) having them create a Badgr account to then send you a link to their badge in their Badgr Backpack. It's that simple and requires no content creation by you!

Our GSU Data Ready! Badges tracks:

• Software & Coding Training [11 total badges]
• Data Literacy! Series [4 total badges]

SAGE Research Methods -- resources for teaching & learning soc-sci methods!

SAGE Research Methods (SRM) is an amazing tool for GSU students, faculty and staff who are learning or teaching research methods and those who are conducting research across social science fields.

SRM includes:

• a library of more than 1000 books, reference works, journal articles
• instructional videos by leading researchers
• full-text of the “Little Green Book” series for quantitative methods and the “Little Blue Book” series for qualitative methods
• a repository of research case studies and datasets that can be used in the classroom or for self-guided learning
• and much more -- check out this recorded overview session on SRM

Additional SRM Resources:

• SAGE Research Methods Librarian Resources, which includes title lists, discoverability help, and promotional materials
• SAGE Research Methods Faculty Resources, which includes lessons plans and sample assignments
• SAGE Research Methods Quick Start Guide for Faculty
• Top Tips for Teaching with SAGE Research Methods  
• Methodspace, an online community for social and behavioral research methods
• SAGE Research Methods Teaching, a resource for accessing and sharing teaching materials on research methods

To learn more: Contact Halley from the Research Data Service (RDS) Department!

Data Ready! Video Series - bite-size intros to data literacy!

THIS VIDEO SERIES covers core data literacy skills with real-life examples -- great introduction to data and statistics!

Videos within the Data Ready! Video Series:

• Data Ready Part 1: Defining Data & Data Literacy
• Data Ready Part 2: Types of Data
• Data Ready Part 3: Data Samples, Populations, & Representative Samples
• Data Ready Part 4: Data Averages: Mean, Media, Mode
• Data Ready Part 5: Algorithms, Black Boxes, & Ethics
• Data Ready Part 6: Correlation, Causation, & Misleading Data
• Data Ready Part 7: Misleading Data Visualizations

AND: We have a Data Ready! Badge digital micro-credential related to the video series content... 

Go Earn the Badge!

Have students attend GSU Data Events!

DATA EVENTS are speaker series talks (in-person and virtual) featuring Atlanta-based and global-wide professionals and social justice advocates highlighting how they use data analysis & visualization in their daily work and careers.

Recordings of recent GSU Data Events:

• Using Data to Address Evictions and Equity Theft in Metro Atlanta
• Data Literacy as a Tool for Social Justice
• Finding Beauty in Data: the Intersection of Data & Art
• Overcoming Data Challenges in the Fight Against Homelessness
• Trees Atlanta: Utilizing Data to Conserve & Grow Atlanta’s Tree Canopy 

Plunge your students into data and statistics...but with floaties!

THIS GUIDE highlights easy-to-use tools and resources for getting students engaged in using data and statistics without the headaches of requiring them to use complicated software or statistical coding.

Each box on the guide:

• Links to one or more tools / resources
• Links to "help resources" to use the tool / resource
• Offers "lesson ideas" and / or teaching resources

Suggestions for tools / resources or lesson ideas?

Share with Ashley or Mandy from the Research Data Service (RDS) Department!