Data Management for Reproducible Research

Mondays, Wednesdays, and Fridays from May 4-15, 2026

11:30am-4:30pm Eastern Time (4 hours of instruction with a one-hour break)

Overview

Join us May 4–15 for the 2026 edition of RDM Jumpstart!

This free national workshop, held on Monday, Wednesday and Friday for two weeks, will introduce participants to best practices in both Research Data Management (RDM) and computational reproducibility with the R programming language. By the end of the program, participants will be able to:

• Explain how RDM principles support research transparency and reproducibility
• Apply RDM practices to real-world examples and consider how they can be applied to your own work
• Implement reproducible research workflows using R and RStudio, and
• Develop transferable strategies for independently learning and adopting new digital tools for research and applying RDM practices to different types of data.

Participants will work through a mock research project with synthetic survey data.

Key Information

This program is targeted at graduate students and postdoctoral fellows with little to no experience in RDM or coding. While anyone is welcome to apply, applications from current/incoming September 2026 Masters and Doctoral students and Post-Doctoral Fellows will be prioritized.

The program will be delivered via Zoom. This experience will be enhanced by prior familiarity with Zoom, a mic, a headset, a camera, and a space with minimal background noise. Access to reliable internet will be required to participate in the program. Participation in the form of conversation, break out rooms, collective problem solving, etc., will be expected. You should feel comfortable with this on Zoom.

You will need a computer running MacOS, Windows, or Linux for this program; a tablet or Chromebook will not suffice. We will be using applications that need to be installed on your computer and you will be required to download data. This means you will need administrative access on your computer to install applications and space to accommodate the data. You should anticipate needing a minimum of 1GB of free hard disk space.

Attendees are expected to participate in all sessions of the series. Please note that the sessions will be offered in English.

Applications open on March 16, and close on April 7. Acceptance notices will be sent out in the week of April 13, and acceptance replies will be due in the week of April 20.