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:
Presentations
- 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.
| Week | Date | Unit | Key Topic(s) |
|---|---|---|---|
Week 1 | January 30 | Orientation | 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 | Closing/Reception |
|
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.