UNIVERSITY PARK, Pa. — Penn State University Libraries’ Spring 2026 online workshops on research data management, statistical analysis and scholarly data practices will introduce participants to tools, policies and best practices that support research across disciplines.
Workshops are free and open to all Penn State faculty, staff and students. Advance registration is required, and all sessions will be recorded and shared with registrants.
Research Data Management
"From Policy to Practice: Understanding the New Federal Data Management and Sharing Requirements"
2 p.m. Tuesday, March 3
In response to the White House Office of Science and Technology Policy 2022 Nelson Memo, U.S. federal agencies have implemented updates to their research data management and sharing policies. This webinar provides an overview of these changes with a focus on what researchers and research support professionals need to know to prepare for compliance. The session will review key policy requirements, highlight similarities and differences across agencies, and discuss practical implications for data management planning, data sharing and long-term stewardship. Attendees will leave with a clearer understanding of how these policies affect federally funded research and where to find institutional and disciplinary resources to support implementation. Register for From Policy to Practice here.
Statistical and Analytical Methods
"Statistical Analysis in R" — Five-Part Workshop Series
1–3 p.m. Fridays March 20–April 17
- Basics of R Studio Refresher — March 20
- Exploratory Data Analysis and Making Visualizations — March 27
- Introduction to Inferential Statistics — April 3
- ANOVA — April 10
- Regression Analysis — April 17
R is a programming language that is popular for data exploration, visualization and statistical analysis. This workshop series will focus on using R to run statistical analysis. Participants can expect to learn exploratory analysis in R to generate descriptive statistics and create data visualizations. Participants also will learn how to use R to run inferential statistics, including topics such as parametric and non-parametric tests, ANOVA and regression. This is a five-part workshop series. Register for the "Statistical Analysis in R series here.
"Introduction to JASP: Data Management and Data Analysis"
Noon–2 p.m. Tuesday, March 24
This is a beginner’s session to provide an overview of JASP software for statistical analysis using a practice dataset. Participants will learn how to run descriptive and basic statistical tests, including exploratory data analysis. No prior knowledge is required. Practice data will be provided. Register for "Introduction to JASP" here.
"NO JOKE: A Qualitative Data Workshop"
1:30 p.m. Wednesday, April 1
This workshop introduces participants to qualitative research by covering the key differences between qualitative and quantitative data and offering an overview of common qualitative data collection methods. Participants will learn how to organize and prepare data for analysis using computer-assisted qualitative data analysis software (CAQDAs). The session teaches foundational coding techniques — such as In vivo, affective and deductive coding — and provides hands-on practice applying these methods to sample transcripts. Participants also will explore how different coding approaches lead to varying interpretations and results. Register for "NO JOKE" here.
More information
For more information, contact the Research Data Stewardship Department at ul-rds@lists.psu.edu.