Research Data Stewardship Program

RDSP Tree Logo




The Research Data Stewardship Program (RDSP) is an annual training program to provide early-career researchers with the knowledge and skills to be effective data stewards.

This Spring-semester program focuses on training, promotion and advocacy for reproducible research, better research data management practices and planning, and FAIR data principles. Topics include data management planning, data storage and security, documentation, and preservation for all disciplines and types of research. Feel empowered to be champions for open research!


Engage in weekly sessions throughout the Spring semester:


  • Weekly talks from research data management experts

Hands-on Practical sessions

  • Apply the principles to your research
  • Explore resources

"Meet the Experts" Week

  • Talks from experts across campus

Benefits of participating:

  • Learn to manage your data effectively
  • Connect with and learn from other people interested in data stewardship from all over campus
  • Increase the impact of your research by knowing how to effectively showcase your data
  • Expand and develop transferable research data skills
  • Receive a virtual binder of program resources via the Open Science Framework
  • Be invited to annual program events and to become a Data Mentor for future program years

Spring 2024 Program Topics

All participants are expected to attend all lectures for program completion. All sessions are held on Tuesdays 11am-noon EST, with the exception of "Experts week". While the dates listed are set, program topics may be subject to change.

RDSP Spring 2024 Schedule
WeekDate  Unit   Key Topic(s)

      Week 1      

      January 30      


      Open house; introductions; book and syllabus pickup      

     Week 2      

     February 6      

      Unit 1: Lecture       

      Introduction; Data Management      

      Week 3      

      February 13      

      Unit 2: Lecture      

      Organizing and Formats      

      Week 4      

      February 20      

      Unit 2: Practical      

      Organizing and Formats: Data File Inventory      

      Week 5      

      February 27      

      Unit 3: Lecture      

      Documentation and Metadata      

      Week 6      

      March 5      

      Unit 3: Practical      

      Documentation and Metadata: READMEs      

      Week 7      

      March 11-15      

      SPRING BREAK      


      Week 8      

      March 19      

      Unit 4: Lecture      

      Data Storage and Security      

      Week 9      

      March 25-29      

      Experts Week      

      Talks from experts across campus      

      Week 10      

      April 2      

      Unit 5: Lecture      

      Workflows and Processes      

      Week 11      

      April 9      

      Unit 5: Practical      

      Workflows and Processes: Tidying up the Spreadsheets      

      Week 12      

      April 16      

      Unit 6: Lecture      

      Data Publishing      

      Week 13      

      April 23      

      Unit 6: Practical      

      Tying it all Together!     

      Week 14      

      May 7      



Registration for the Spring 2024 program is closed as of January 22nd 2024. 


Organized by Princeton University Library’s Princeton Research Data Service, Princeton Institute for Computational Science and Engineering, and Research Computing.