OpenPulse Community Rollout Workshop: Making Research Software Visible and Valued
Event details
| Date | 16.06.2026 |
| Hour | 09:30 › 13:30 |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
Open-source research software has become a central part of how modern science is produced, shared, and reused. Yet the work involved in developing, maintaining, documenting, and sustaining research software communities often remains difficult to see, measure, and value within research institutions.
OpenPulse is an open research data platform developed by EPFL Open Science in collaboration with the Swiss Data Science Center. It aims to make research software communities and their contributions more visible and valued through meaningful indicators related to activity, collaboration, maintenance, and community engagement around software.
At the first OpenPulse event in November 2025, participants helped us think through what such a platform could make possible. Through a hands-on sprint, they prototyped ideas around open hardware, reproducible machine learning, open education, data visualization, and open-source policy and governance.
Now, OpenPulse is ready for its community rollout.
This follow-up workshop invites the community to try out the dashboards, examine research software projects through a first set of CHAOSS-inspired indicators, share feedback, and discuss what we can learn from looking at research software through the lens of community engagement.
We welcome researchers, software developers, research software engineers, data scientists, research administrators, IT and library professionals, and anyone interested in how research software communities are built, maintained, evaluated, and supported. No coding experience is required. Technical, conceptual, strategic, and community perspectives are equally welcome.
Programme highlights
For more information, please contact: [email protected]
OpenPulse is an open research data platform developed by EPFL Open Science in collaboration with the Swiss Data Science Center. It aims to make research software communities and their contributions more visible and valued through meaningful indicators related to activity, collaboration, maintenance, and community engagement around software.
At the first OpenPulse event in November 2025, participants helped us think through what such a platform could make possible. Through a hands-on sprint, they prototyped ideas around open hardware, reproducible machine learning, open education, data visualization, and open-source policy and governance.
Now, OpenPulse is ready for its community rollout.
This follow-up workshop invites the community to try out the dashboards, examine research software projects through a first set of CHAOSS-inspired indicators, share feedback, and discuss what we can learn from looking at research software through the lens of community engagement.
We welcome researchers, software developers, research software engineers, data scientists, research administrators, IT and library professionals, and anyone interested in how research software communities are built, maintained, evaluated, and supported. No coding experience is required. Technical, conceptual, strategic, and community perspectives are equally welcome.
Programme highlights
- Introduction: What do open-source research software communities look like, and why study them through the lens of community engagement?
- Live OpenPulse demo by the Swiss Data Science Center
- OpenPulse booth & hands-on dashboard exploration
- Community roundtable on OpenPulse governance, maintenance, and sustainability.
- Together, we will ask: How do research software communities grow and sustain themselves? How are decisions made? Who maintains pull requests and bug trackers? What kinds of contributions are visible, and which ones are still missed?
- Lunch discussion and closing remarks
For more information, please contact: [email protected]
Links
Practical information
- Expert
- Registration required
Organizer
- A joint event by: EPFL Open Science, ENAC-IT4R, and SDSC