Conveners
Open Science for All: Skills & Community: Panel
- There are no conveners in this block
Open Science for All: Skills & Community: Individual Presentations
- Bastian Drees (EMBL)
Open Science for All: Skills & Community: Panel
- There are no conveners in this block
Open Science for All: Skills & Community: Individual Presentations
- There are no conveners in this block
Open Science for All: Skills & Community: Workshop
- There are no conveners in this block
While many institutions have embraced open science through policies and training initiatives, creating enduring communities that sustain open practices remains a significant challenge. This panel explores strategies for developing resilient, researcher-led open science communities that persist despite institutional turnover, shifting priorities, and the project-based nature of academia.
The...
What if the pipeline for transparent, collaborative research began before university? This presentation shares a bold and scalable model for fostering open science practices in secondary school, empowering students to contribute meaningfully to research while reimagining how we train the next generation of scientists and engineers - with equity at the focal point.
Since 1998, Hathaway...
While funding agencies typically require data management plans for project proposals, this does not guarantee the eventual availability of Open Research Data (ORD) that adheres to the FAIR principles. In reality, only a small fraction of funded projects fulfills these commitments, primarily because providing ORD demands additional effort. Often, this effort occurs only after the publication of...
Nowadays, data fuels discovery, innovation, and decision-making; therefore, the ability to manage and curate data responsibly is crucial.
The [Master in Data Management and Curation (MDMC)][1] is a pioneering educational program that embraces the “FAIR-by-design” paradigm, going beyond theory to train professionals in the practical implementation of FAIR principles across the entire research...
As Artificial Intelligence becomes increasingly integrated into the research lifecycle and transforms the research landscape, achieving AI readiness is a key priority. Ensuring high quality, accessible data and workforce preparedness are fundamental to enabling responsible AI-driven innovation. However, gaps remain in data readiness, standards, and AI-specific training.
Alongside...
We will share our lessons learned on how to engage students, staff, and management at our university with Open Science (OS). OS requires a culture change, which poses several challenges: 1) the organisation of support for OS that spans across faculties, services, disciplines and expertises; 2) to ensure people recognise the many topics that relate to Open Science as such.
In this...
Open Science Research Infrastructures (RIs) are not only technical platforms for data sharing, but social ecosystems that rely on active, inclusive communities to be impactful and sustainable. The FOSSR project (Fostering Open Science in Social Science Research), funded by Italy’s National Recovery and Resilience Plan, offers a case study of how strategic communication and engagement can...
Communities in astrophysics, astronomy, and high-energy physics have pioneered Virtual Research and Learning Communities (VRLCs) that foster international cooperation, open education, and the development of new generations of scientists through accessible virtual environments. Building on this foundation, the LA-CoNGA Physics network (2020–2024) [1] established an European–Latin American...
For science to be truly open, people need access not only to resources but also to the confidence to use them — especially in data science, where technical tools are key to sharing data and code under FAIR principles. However, the tech space remains male-dominated, and many women and newcomers feel out of place. This lack of belonging can prevent people from engaging fully.
As staff at the...
