The document outlines a series of data and visualization workshops offered by Duke Libraries, including workshops on data management, cleaning, analytics using tools like R and Stata, digital mapping using ArcGIS, and data visualization. It discusses the role of data workshops in providing instruction, marketing library services, and advocating for responsible data practices. The document also considers best practices for workshop content, timing, and assessment.

1. SustainableWorkshop Series:
Data andVisualization Workshops
Joel Herndon
Head, Data andVisualization Services
Duke Libraries

2. library.duke.edu/data

4. Data Management/Storage
• Data management plans
• ResponsibleConduct of
Research (RCR)

5. Data Cleaning/Analytics
• Data Cleaning
• Open Refine
• R
• Stata
• Text Analysis

6. Digital Mapping
• ArcGIS
• ArcGIS Online
• Historical Mapping
• WebGIS

7. DataVisualization
• Academic Posters
• Charts and Graphs
• Network Analysis
• Tableau

8. The Role of DataWorkshops
• Instruction
• Marketing
• Advocacy

9. WorkshopTrends

11. From the desktop…

12. From data workshops
as a supplement…
Data 101 image source: http://bit.ly/1CUQNZL

13. From software focused…
Designing Figures and Posters
Using Gephi for Network Analysis
Do’s and Don’ts forCharts and Graphs

14. Workshop Considerations
• Timing
• Content
• Assessment

15. Considerations:Timing
• “There’s no good time for a workshop”
• Length (and flow)
• Multi-session workshops?

16. Considerations: Content
• Supplementing courses?
• Showcasing new tools/methods?
• Exploring existing projects?

17. Considerations: Assessment
• What is success?
– Turnout?
– Skills acquired?
– Projects completed?
• Evaluating content
• Do you offer credentials? credit?

18. Thank you !
Questions?
joel.herndon@duke.edu
Head, Data andVisualization Services