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 8-month annual program focuses on training, promotion and advocacy for reproducible research, good 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 3.5 hours of activities each month:
Presentations
- Talks from experts across campus
Self-Paced Work
- Apply principles to your research
- Explore resources
Discussion
- Engage domain-specific topics and experts
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
2021-2022 Program Schedule
Lectures will be virtual and recorded, discussions will be held in person. All participants will be expected to attend one of the four available discussion sessions.
| Month | Key Topic(s) | Lecture Time | Discussion Times |
|
September 2021 |
Introduction; Data Management Planning |
Thu, 09/09/2021, 12pm-1:30pm ET |
Thu, 09/23/2021, 2-3pm and 3-4pm ET |
|
October 2021 |
Legal and Ethical Considerations |
Thu, 10/14/2021, 12pm-1:30pm ET |
Thu, 10/28/2021, 2-3pm and 3-4pm ET |
|
November 2021 |
Data Security and Storage |
Thu, 11/04/2021, 12pm-1:30pm ET |
Thu, 11/18/2021, 2-3pm and 3-4pm ET |
|
December 2021 |
Organizing and Formats |
Thu, 12/02/2021, 12pm-1:30pm ET |
Thu, 12/16/2021, 2-3pm and 3-4pm ET |
|
January 2022 |
Documentation and Metadata |
Tue, 01/25/2022, 12pm-1:30pm ET |
Wed, 01/26/2022, 2-3pm and 3-4pm ET |
|
February 2022 |
Analysis and Visualization |
Tue, 02/08/2022, 12pm-1:30pm ET |
Wed, 02/23/2022, 2-3pm and 3-4pm ET |
|
March 2022 |
Data Preservation and Publishing |
Tue, 03/08/2022, 12pm-1:30pm ET |
Wed, 03/23/2022, 2-3pm and 3-4pm ET |
|
April 2022 |
Open Research Workflows |
Tue, 04/05/2022, 12pm-1:30pm ET |
Wed, 04/20/2022, 2-3pm and 3-4pm ET |
Registration for the 2021-2022 program is closed.
Please check back in the summer of 2022 for information about the next edition of the program.
Organized by Princeton University Library’s Princeton Research Data Service, Princeton Institute for Computational Science and Engineering, and OIT Research Computing.