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...
Scientific Knowledge Graphs (SKGs) currently lack systematic approaches for handling geographic data, a particularly relevant limitation in energy planning, where spatial context is crucial for informed decision-making. The SciLake project (Horizon No. 101058573) aims to enhance knowledge discovery by improving the SKG’s infrastructure and services for accessing, integrating, and reusing...
The RDA TIGER project has played a pivotal role in supporting Research Data Alliance (RDA) Working Groups (WGs) that align, harmonise and standardise Open Science developments and technologies globally. While the RDA is a global platform, one of RDA TIGER’s key selection criteria for supporting WGs and projects is their potential impact on solving European data challenges and promoting data...
Understanding the impacts of Open Science (OS) and the extent to which they materialise requires a solid methodological framework, which is not yet fully established. The Cost-Benefit Analysis (CBA) framework for OS - developed (part of the PathOS project) - aims to provide a systematic and comprehensive approach to quantifying the impacts of OS. This framework goes beyond simply evaluating...
Open Science infrastructures have significantly advanced global knowledge sharing, enabling wider access, collaboration, and transparency in research. However, alongside these achievements, we face substantial challenges from spam and malicious activities that threaten the integrity of scholarly communications and pollute the scholarly graph. These challenges include the exponential growth of...
This presentation delivers a critical policy assessment of national Open Science (OS) strategies and policies across selected EU Member States, examining their alignment with, and divergence from, supranational frameworks, particularly EOSC and broader EU digital agendas. Drawing on socio-epistemological theory and a critical analysis of policy and infrastructural dependencies within the EU,...
In this talk we propose to survey the computational reproducibility practices, opportunities and challenges in view of fostering Open and FAIR Science in research communities.
We discuss several thinking models regarding computational reproducibility, focusing on the broader knowledge preservation and reuse aspects rather than on the raw computing evolution aspects.
Building upon several...
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...
This panel brings together diverse stakeholders from commercial entities and open initiatives to engage in a candid, interactive conversation about building transparent, respectful, and mutually beneficial partnerships. It will address the critical challenge of sustaining open infrastructure in a difficult funding landscape, where over-reliance on single stakeholders threatens vital systems....
As Open Science infrastructures evolve, it is increasingly evident that traditional open license structures no longer meet the complex needs of Research Performing and Funding Organizations (RPOs/RFOs). Today’s research ecosystems require more nuanced and layered approaches to data access, sharing, and reuse—particularly within international data spaces, discipline-specific workflows, and...
The presentation explores open science policy development in Finland in the context of stakeholder engagement and the creation of the first national policy recommendation for citizen science with focus on measuring impact and community engagement.
The presentation is based on two 2025 studies. First study is established on the shift of responsibility for coordinating open science in...
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...
The emergence of a digitally enabled Open Science has coincided with the vast growth of high education in the Global South, leading to a vast expansion of research and publishing activity, as attested to, for example, by the 55,000 journals (almost entirely open, without fees for readers or authors) using the journal publishing platform Open Journal Systems (OJS) launched in 2002. The rate and...
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...
International Relations are established for various purposes; however, the nature of this Open Science Fair 2025 “Fusing Forces – Accelerating Open Science through Collaboration” invites us to address the relationships that exist around Cooperation, specifically new trends.
To this end, we will review briefly what has characterized these ties for years, and then we will suggest an alternative...
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...
Over the past decade or more, Open Science (OS) has rapidly gained momentum, with thousands of policies and recommendations from national agencies, funding bodies, institutions, and journals intended to foster a paradigm shift toward openness. Despite this enthusiastic embrace of Open Science, the tools and frameworks necessary for knowing whether greater openness is being achieved have lagged...
The Barcelona Declaration on Open Research Information, published in April 2024, promotes the openness of publication and research output metadata, as well as the openness of information about research funding. Openness of research information supports responsible research assessment, enables equitable and inclusive policy making, and helps advance more open approaches to monitoring and...
There is a global consensus that open science will make research
more transparent and inclusive, accelerating the advancement of
knowledge. The vision of open science depends on a
robust network of well-functioning repositories that not only
collect, preserve, and provide access to millions of valuable
research outputs but also serve as critical institutional assets. In an
era where AI...
As the global research community embraces reform in how research is assessed, emerging practices grounded in openness, transparency, and inclusivity are gaining traction. This panel will explore how new approaches to Responsible Research Assessment (RRA) are being shaped by Open Science values and supported by open infrastructures. It will bring together perspectives from policy initiatives...
Designing What Matters is a 90-minute co-creation workshop bringing together policy makers, research support professionals, researchers, bibliometricians, and librarians to rethink how we monitor the impact of Open Science and reward it within research assessment frameworks.
Building on the GraspOS Researcher Profile and Monitors, participants will break into small groups and receive a...
The initiative of the European Research Area (ERA) aims at creating a unified research and innovation space across Europe. One of the key objectives of ERA is to promote open access to research results and data, thus encouraging transparency, reproducibility, and wider dissemination of knowledge. In order to achieve an alignment with this ERA objective (and others), the European Research Area...
The current US government attacks on science and international collaboration are shaking the foundations of the global scientific endeavor. The damage to both research itself and the essential underpinnings of good science – collaboration, integrity, openness – may be irreversible.
US government acts of censorship, intimidation and erasure – like the removal of critical websites,...
This presentation explores a collaborative national network of research data repositories in Poland, where institutional, disciplinary, and generalist infrastructures coexist rather than compete. The model offers a practical example of how interoperability and central coordination can support researchers and institutions in selecting the most appropriate repository type—without duplicating...
The EU-funded OSTrails project is building a federated Open Science infrastructure by enabling researchers and institutions to discover, plan, track, and assess their work in transparent and interoperable ways. With 41 partners and 25 pilots—including cross-domain, national, and Horizon Europe testbeds—OSTrails is piloting the practical integration of over 80 interoperable tools and services....
As artificial intelligence (AI) and open science reshape research practices and outputs, the need for ethical, reliable, and transparent research assessment has become urgent for academia and science. Traditional evaluation models focused on impact factors, citations, and rigid disciplinary boundaries are increasingly misaligned with open science, open innovation, and the evolving digital...
How can we collectively shape AI integration in open science infrastructure to benefit all research communities? Join us for a dynamic 90-minute session where we'll move beyond the AI hype to explore practical implementations, ethical considerations, and collaborative pathways forward. Through lightning talks showcasing real-world applications, hands-on knowledge mapping, and our innovative...
As Open Science moves from aspiration to policy, the demand for actionable indicators to monitor its impact is growing. Policy initiatives like Horizon Europe Interim Evaluation, ERA Dashboard, EOSC monitoring activities, and national monitoring efforts call for reliable, interoperable data to support evidence-based decisions. Meanwhile, global frameworks such as UNESCO’s Open Science...
This panel confronts the critical tension between openness and security in today’s Open Science landscape. As AI revolutionizes research, it also introduces significant risks like disinformation and trust erosion. Compounding this, geopolitical strains force a reassessment of knowledge sharing, further undermining scientific trust. We are caught in an "information paradox": unparalleled access...
Research today produces an expanding array of data, software, and workflows managed across diverse services and organizational environments. This growing complexity poses challenges for research support teams aiming to implement consistent, policy-aligned practices for Open Science and FAIR data management.
OpenAIRE addresses this need with ARGOS (argos.openaire.eu), a solution designed to...
Research assessment systems have traditionally relied on journal-based metrics, such as the Journal Impact Factor, which inadequately capture the diverse contributions of research and researchers, which hinder the recognition of the full spectrum of academic work, including open science practices. Traditional assessment practices are not contributing to the progress of open scholarship.
The...
Masters’ and PhD candidates earn their degree by completing a thesis, which typically contains one or more research articles. Yet, along the research path, researchers may create other outputs (e.g., protocols, methods, data, code), use reproducible and transparent practices (e.g., evidence synthesis, reporting guidelines, use of unique identifiers) and engage academics and non-academics to...
