The 2025 Open Science and Practice Training Academy (OSTPA) schedule is designed for researchers, educators, and administrators who want a structured, hands-on introduction to open science tools and workflows. This article outlines the core dates, formats, and expectations so you can plan your participation with confidence.
All sessions are delivered as live webinars with recordings available, allowing you to follow the program in real time or review key materials at your own pace. The focus is on practical skills, peer collaboration, and building reproducible research habits aligned with the latest open science standards.
| Program Track | Primary Audience | Format | Session Blocks |
|---|---|---|---|
| Foundations of Open Science | Early-career researchers | Weekly live webinar | 4 sessions, 90 minutes each |
| Data Management & Sharing | Data managers and librarians | Hands-on workshops | 3 sessions, 120 minutes each |
| Reproducible Workflows with R and Python | Computational researchers | Project-based labs | 5 sessions, 150 minutes each |
| Peer Review and Open Scholarship | Faculty and journal editors | Panel discussions | 2 sessions, 90 minutes each |
| Certification Pathway | All participants | Portfolio and exam | Final capstone project |
Understanding the full OSTPA 2025 schedule
Daily agenda and time zones
Each training day is organized into focused segments that balance lectures, guided exercises, and collaborative discussions. Morning blocks emphasize core concepts, while afternoon sessions shift to applied practice using open datasets and shared tools. The calendar accounts for multiple time zones, with recordings posted by 12:00 UTC the next day.
Key milestones and deliverables
Critical milestones include project proposal submission, mid-program checkpoint, and final portfolio review. Participants are expected to complete brief reflective tasks after each session and integrate feedback into their final capstone. These milestones are clearly marked on the published schedule to support steady progress.
Hands-on training labs and tools
Environment setup and prerequisites
Prior to the first live session, attendees receive a setup guide covering installation of R, Python, Jupyter, and Open Science Framework integration. Quick-start templates help you configure your environment in under 15 minutes, minimizing technical friction at the start of the program.
Collaborative notebooks and version control
All labs use shared Jupyter notebooks stored in public repositories, enabling real-time collaboration and version tracking. Facilitators provide step-by-step walkthroughs while encouraging participants to fork, experiment, and submit pull requests as part of the learning process.
Project-based learning and peer feedback
Selecting a reproducible project
During the second week, you will choose a small research project or data task to serve as the anchor for your portfolio work. You are encouraged to pick a topic relevant to your role, with instructor support available for refining scope and feasibility.
Iterative review cycles
Each project passes through three structured review cycles, incorporating feedback from peers and facilitators. You will revise code, documentation, and narrative explanations, aligning your deliverables with open reproducibility benchmarks expected by potential employers and collaborators.
Integration with institutional practices
Policy alignment and workflow mapping
Workshops include templates and checklists that help you translate OSTPA practices into local workflows. You can explore how data-sharing policies, credit assignment, and recognition mechanisms fit within your institution’s broader research strategy.
Scaling open practices across teams
The program highlights strategies for coordinating open workflows across research groups. You will learn to design handoff procedures, document decision logs, and set expectations that support sustainable adoption beyond individual projects.
Next steps for engaging with the OSTPA 2025 schedule
- Review the published session calendar and select your preferred track
- Complete the prerequisite setup guide at least 48 hours before the first session
- Submit your project idea during the designated proposal window
- Join live labs, contribute to shared repositories, and participate in review cycles
- Export your completed portfolio and certification materials for your records
FAQ
Reader questions
Who should attend OSTPA 2025 and what background is required?
The program welcomes early-career researchers, data managers, librarians, faculty, and administrators with basic familiarity with research workflows. No advanced programming experience is required, but comfort with file organization and version control concepts is helpful.
Are the sessions live, and how are recordings handled?
All core sessions are delivered live as webinars, with interactive Q&A and moderated chat. Recordings are available within 12 hours and remain accessible for 90 days, allowing flexible review and reference.
How is the certification pathway structured and what does it include?
The certification pathway combines completed labs, a mid-program checkpoint, and a final capstone project evaluated against a transparent rubric. Successful candidates receive a digital badge and a summary portfolio page that can be shared with employers and collaborators.
What technical setup is needed to participate effectively?
You will need a modern web browser, a reliable internet connection, and administrative rights to install R, Python, and Jupyter. A headset with a microphone is recommended for live discussions and collaborative coding sessions.