Open Science Infrastructure programme

Open Science Infrastructure programme is sponsored by Open Science NL. This program aims to improve and further develop existing digital infrastructures that enable open science. It supports a wide range of projects, from discipline-specific infrastructures to generic solutions, with a focus on collaboration and the formation of consortia.

45 projects strengthen Dutch open science infrastructure | Open Science NL The awarded projects cover the full spectrum of open science: from the expansion of the Research Software Directory and the federation of institutional repositories that improve the discoverability of Dutch research outputs, to an open infrastructure that connects fragmented colonial archives to reconstruct the lives of enslaved individuals.

From an infrastructure that makes data from the world’s largest telescopes openly available, to AI tools that improve the reproducibility of research results. The diversity of the 45 projects reflects the breadth of the open science field itself. The projects focus on both existing and new infrastructure, and on both discipline-specific and generic infrastructures.

In total, 25 smaller projects will receive grants of up to 250,000 euros, with a total budget of 6 million euros. In addition, 20 large projects will each receive up to 1. 5 million euros, with a total budget of 29.

5 million euros. This means that respectively 22 and 30 per cent of the pre-proposals submitted to Open Science NL have been funded. Open Science NL received no fewer than 174 pre-proposals.

An impressive number, according to Open Science NL director Hans de Jonge. ‘This number of applications is a clear signal that the research community in the Netherlands has a strong need for digital infrastructure and funding. People are working very hard on open science, and infrastructure is one of the key building blocks to truly make it possible.

We are therefore very pleased that we were able to increase the budget of this programme and can now fund so many projects. ’ The budget of the funding round was initially 17. 5 million euros .

Open Science NL was able to increase this amount to 35 million euros through a one-off additional financial contribution from NWO. The extra funding comes from interest that NWO receives on money that still awaits a final allocation due to, for example, assessment procedures. NWO offered Open Science NL the possibility of an increase after the full proposals had already been submitted.

The awarded small projects A FAIR and open medical imaging annotation platform Hakim Achterberg, Erasmus MC Medical Imaging Curation and Annotation Platform The proposed project aims to create a medical imaging annotation platform aligned with the FAIR and open science principles, improving data standardization, interoperability, and accessibility.

By incorporating an integrated Standard Operating Procedure for annotation, the platform will reduce human error, lower the administrative burden, and minimize inter-observer bias. Built on open-source software, it will support interoperability with Health-RI infrastructure, enabling seamless data integration and re-use. The platform will include image annotation tools, standardized templates, task lists, and automatic data management.

Planned training, open-source licensing, and community engagement ensure broad adoption and long-term usability in medical research.

Helping biomedical researchers make rich datasets FAIR Marian Beekman, Leiden University Medical Center Retrospective FAIRification by complementation of metadata and interoperability (RetroFAIR) Longitudinal observational and intervention studies with rich data from various sources are invaluable for biomedical research.

Datasets such as questionnaires, physical and molecular measurements and scans often have been collected over a long period of time without FAIR principles in mind. Retrospective FAIRification is therefore essential for future reuse. While FAIR principles can guide this process, the practical implementation can be challenging.

This project will develop step-by-step tutorials, tools and access procedures to help biomedical researchers retrospectively FAIRify these rich datasets. This will facilitate and stimulate responsible and efficient reuse of precious biomedical data that cannot be reobtained.

Twente public invited into research laboratories and makerspaces OpenTwente - A stepping stone towards open innovation for and by Twente OpenTwente aims at enhancing citizen literacy and engagement by connecting existing research labs and makerspaces with the citizens of Twente . Protocols will be revised and established to make these spaces publicly accessible, with pilot programs testing the process.

Complementarily, an AI-powered centralised platform will be developed to enable registration and access to available projects, and coordination between the labs/spaces. Lab/space coordinators will collaborate to form an offline/online community, fostering a network of open-access labs, spaces and citizens.

In essence, through open-science and FAIR principles, OpenTwente shall empower continued citizen-access to knowledge and resources and sustain public engagement. Tackling urban heat with citizen data Michiel van den Broeke, Utrecht University UTMOST - Utrecht Meteorological Open Science Testbed City dwellers are increasingly affected by heat stress.

However, the long-term and consistent monitoring of city climate to track heat stress and how it impacts the urban environment and its inhabitants is still underdeveloped. Meteorological observations from citizens are key to monitoring city climate in sufficient detail, but fragmentation and diversity in approaches prevent their effective use.

This project takes the first steps to an operational service where measurements from citizens are collected in a central hub, following standardised protocols. The potential of this approach is demonstrated by detailed heat maps combining citizen and other datasets for Utrecht and surroundings.

An open environment for data on wild breeding birds Joseph Burant, Netherlands Institute of Ecology SPI-Birds Data Entry Software (SPI-BirDES): closing the FAIR data life cycle on the ecology of breeding birds In ecology, many research groups collect similar types of data, but there are no community-defined tools for data entry.

SPI-BirDES will develop an open, modular data entry platform for researchers studying wild breeding birds across the globe. This platform will make it easier for scientists to collect, organise, and standardise their field data, supporting open science and FAIR data management practices. SPI-BirDES will be designed in close collaboration with the research community and will be freely available to all users.

By improving data quality and access, the platform will enable researchers to manage, integrate, and reuse valuable long-term ecological datasets.

Bridging the digital divide with open-source software tools for lawyers Gijs van Dijck, Maastricht University Bridging the Digital Divide: Open, Scalable, and Accessible Software for Legal Data This project develops open-source software tools for legal researchers, aiming to bridge the digital divide in legal research.

The field of law is still in its infancy when it comes to open-source research software, which creates accessibility barriers. The software provides intuitive solutions tailored to those without technical skills for annotating, analyzing, and generating legal texts using artificial intelligence.

By making these tools available, the project aims to enhance access to legal research and foster innovation, collaboration, and inclusivity in the legal sector. This project directly addresses important needs in the legal research community and beyond.

Your decision aid for scholarly communication Ellen Fest, Wageningen University UKB Publishing Browser – your scholarly communication decision aid Researchers currently face many publishing and Open Access (OA) challenges.

To help them select a suitable publication outlet for their manuscript, this project will adapt the widely adopted UKB-Journal-Browser regarding (A) extended, enhanced and more timely information to facilitate decision-making and (B) improvement of the user experience. The UKB-Journal-Browser will evolve into the UKB-Publishing-Browser, with e.g. added trust markers and diamond OA publication outlets.

As such, the UKB-Publishing-Browser will facilitate the transition towards an open, transparent, affordable, equitable and high-quality scholarly communication landscape. The platform will continue to be flexible and maintained by WUR library.

Patient experiences made freely accessible, searchable and widely usable Astrid Janssens, UMC Utrecht Patient signaLs United in a Metabase: the PLUM Platform Better integration with Python Adam Kewley, Delft University of Technology OPynSim: A python-native library for interoperable biomechanical simulations OpenSim is the most popular simulator for biomechanical research in the world.

While free and opensource software, it does not integrate easily with the Python ecosystem, which is rapidly becoming the de facto standard for Open Science. This project's goal is to make OpenSim’s integration as seamless as possible by designing, developing, and documenting 'Python-native' bindings for OpenSim that focus on ease-of-use, performance, teachability, and interoperability.

This will be paired with the development of a standardized 'study' file format, which will provide the community with a clear way to interchange the library's models, input data, and analysis results.

Transforming traditionally closed research equipment into interoperable systems Jasper Koehorst, Wageningen University Transforming Research Equipment Connectivity: An Open IoT Platform for Real-Time Data Collection and Digital Twinning This project will expand the open-source Laboratory Equipment Adapter Framework (LEAF), a data acquisition framework that connects laboratory devices to an open Internet of Things (IoT) platform.

LEAF enables real-time, standardised data collection, improving data accessibility, reproducibility, and reuse across scientific disciplines. By transforming traditionally closed research equipment into interoperable systems, this initiative promotes the FAIR principles (Findable, Accessible, Interoperable, Reusable) and supports open science at the source of data generation.

The project will scale LEAF from a proof-of-concept into a fully deployable product through modular development, community collaboration, and integration with existing open infrastructure.

Describing visual elements in historical documents with AI Rutger van Koert, KNAW Humanities Cluster Voicing the Document: Using vision-language models to enhance our understanding of historical document collections Many historical documents contain visual and structural elements such as tables, illustrations, and marginalia, which automatic text recognition (ATR) software struggles to recognise.

The goal of this project is to develop multimodal AI models, fine-tuned on Dutch sources, that can describe the visual and structural features of historical documents and integrate this functionality into Loghi, a widely used, open-source ATR package.

Besides improving the quality and accessibility of historical transcriptions, this project will provide support and share its data, tools, methods, and models under open licenses, and teach other groups in the Netherlands how to apply these to their own collections.

Improving the data infrastructure of the Amsterdam Cohort Studies Neeltje Kootstra, Amsterdam UMC Open Science Data Infrastructure – strengthening FAIR principles in the Amsterdam Cohort Studies on HIV and other sexually transmitted infections This project improves the Open Science data infrastructure of the Amsterdam Cohort Studies (ACS) according to the FAIR principles. Since 1984, ACS collected data on men who have sex with men.

The project intents to make the ACS (meta)data more findable, accessible, interoperable, and reusable, enabling faster and more efficient research. Making diamond open access books more accessible and discoverable Margreet Nieborg, University of Groningen Scaling small in NL - Implementing a joint metadata management system to enable joint outputs and services in partnership with Open Access Book infrastructure services.

This project unites university presses in Delft, Groningen, Maastricht, Nijmegen and Tilburg to build a shared system for managing book information. The aim is to improve access to diamond open access books—free to read and publish.

In partnership with Thoth (open-source metadata platform), OAPEN and DOAB ( archiving and finding open access books) and Open Book Collective (which supports sustainable funding for open access), the project creates a joint catalogue and shared services. It strengthens non-commercial publishers and supports a more open, fair academic publishing system in line with national Open Science goals.

Open-source software for mechanical ventilation Eline Oppersma, University of Twente Multimodal Monitoring of the Respiratory System: an integrated analysis platform (M3Resp) Mechanical ventilation is an essential and potentially lifesaving support strategy for 40. 000 critically ill patients in the Netherlands annually. However, outdated and inadequate closed-source software hampers effective respiratory monitoring.

This project proposes M3Resp: an open-source software platform for MultiModal Monitoring of the Respiratory system. M3Resp will focus on bedside techniques, such as electrical impedance tomography (EIT) for imaging of lung ventilation and perfusion, and surface electromyography (sEMG) to monitor electrical activity of the respiratory muscles.

M3Resp will promote open science, and enable cutting-edge research that is accessible and adaptable, to directly impact clinical practice for Intensive Care physicians and patients.

Secure software for privacy-sensitive health data HealthMetaSyn: FAIR and Safe Synthetic Data from Health Record Metadata HealthMetaSyn is a software infrastructure that creates privacy-safe synthetic health data for research, using an open and auditable method based on metadata.

Unlike traditional 'black-box' models that risk leaking sensitive information, HealthMetaSyn ensures transparency and privacy by using a standardised, interoperable metadata format. This supports safer data use in federated analyses—where data stays local and only code is shared. The project engages researchers, data providers, and policymakers, aiming to lower barriers to using sensitive health data for testing, training, and analysis.

It promotes open-science by offering accessible tools, training, and resources to support widespread and responsible data reuse.

New platform for plant growth data Kumar Saurabh Singh, Maastricht University Brightlands Open Data Hub: A 5-star linked-open data platform for interdisciplinary crop science research and education Brightlands Open Data Hub is a new platform that helps researchers safely store, link, and share plant research data. It aims to make research more open, reliable, and reusable across universities and research centers.

This platform would securely connect real-time plant growth measurements with biological data in a standardized, sample-centric system, enabling deeper insights into plant-environment interactions. Starting as a pilot project, it will serve as a test case for building a bigger, national infrastructure.

The vision is to connect different research areas, help students and scientists work together, and create a future-proof system for sharing knowledge openly and securely.

Unlocking data from the world’s largest telescope LoFAIR: FAIR Data & Open Software for LOFAR LOFAR is the world’s largest telescope operating at low radio frequencies, addressing an extraordinary range of science cases, from black holes and pulsars to extrasolar planets. However, LOFAR’s impact is limited because both the data it produces and the software needed to analyse it are hard to find and awkward to access.

LoFAIR will address this by making the LOFAR data archive fully compliant with the FAIR principles and introducing a centralized directory for analysis tools based on the established Research Software Directory. For a relatively small investment, this dramatically increases the accessibility of LOFAR to the widest scientific community.

Software to distinguish causal relationships and correlations Johannes Textor, Radboud University An Open-Source Software Ecosystem for Causal Inference: Addressing Needs Across Research, Education, and Industry Which patients benefit from the newest cancer treatments? Are tariffs an effective policy tool? Is the use of AI detrimental for student performance?

These and many other questions can be addressed by causal inference methods that clearly distinguish genuine cause-effect relationships from spurious correlations. Causal inference methods have rapidly developed over the past decade, but a lack of accessible, user-friendly software remains a major barrier for adoption.

Building on the strong foundation of our well-established, open software, this project will build an open-source ecosystem of interoperable tools and a collaborative web platform for causal modeling aimed at a diverse user community.

Improving a platform for AI-driven research Joaquin Vanschoren, Eindhoven University of Technology OpenML Next: Building the Future of AI-driven Open Science OpenML empowers scientists to conduct transparent, reproducible, and collaborative AI-driven research.

With a wide user base and deep integrations into machine learning tools, it offers thousands of open datasets and tracks full experimental details to ensure results can be reused and verified. This project strengthens OpenML’s infrastructure, enhances its usability, and connects it more deeply with the Dutch and global open science community.

By improving interoperability, metadata quality, and user engagement, we aim to accelerate responsible AI adoption across all scientific domains - ensuring the AI revolution becomes an open science revolution that supports innovation, reproducibility, and equity in research.

Fast and flexible model estimates made user-friendly Mauricio Garnier Villarreal, Vrije Universiteit Amsterdam Fast estimation of classical and new latent variable models in R LATENT is a free, open-source R package for researchers to estimate statistical models with unobserved (latent) variables, which are widely used in social, behavioural, and health sciences.

While existing software is either too expensive or too limited for the current research demands, LATENT combines fast and flexible estimation with a user-friendly interface, making it accessible and affordable to conduct complex analyses. This project will extend LATENT with new modeling capabilities, documentation, tutorials and journal articles, supporting transparency, reproducibility, and accessibility in science.

Thus, it will follow open science principles by building an efficient, open, sustainable, and community-owned alternative to commercial software.

A comprehensive knowledge base for the fungi community Duong Vu, Westerdijk Fungal Biodiversity Institute An online open resource serving as a linking pin in mycology This project will establish an open, centralized online hub for mycology, integrating the Westerdijk Institute’s extensive data on fungal strains and species, accumulated over decades of research.

The platform will encompass diverse information, including morphology, physiology, mycotoxin production, ecology, antifungal susceptibility, and DNA barcodes, sourced from both the institute and international databases, creating a comprehensive knowledge base.

The platform benefits the fungal community in various ways, enabling accurate fungal identification, advancing AI-based technology, enhancing food safety, and addressing biodiversity loss. Aligned with open science principles, it fosters collaboration, accelerates research, and promotes transparency, open access, and reproducibility in scientific discovery.

An open infrastructure for research on medication related harm Daniala Weir, Utrecht University OPEN-MRH: An Open Science Platform and Novel Dataset to Address Medication Related Harm The OPEN-MRH project will create an open, secure, and interoperable platform for medication-related harm (MRH) research.

By harmonizing and pooling de-identified patient-level data from international studies, it will enable large-scale analysis of MRH and its causes. The platform will provide FAIR data, shared standards, and clear guidance for researchers and institutions navigating new EU AI regulations.

OPEN-MRH will strengthen global collaboration, support safe use of medications, and promote transparency, reproducibility, and responsible data governance in patient safety research. Eventually, this project will improve patients' lives and contribute to better and more cost-effective health care by reducing unnecessary MRH in patients.

Securely storing, analysing, enriching and sharing political documents Kasper Welbers, Vrije Universiteit Amsterdam Observatory for Political Texts, Images and MultimediA (OPTIMA) A platform for academic open access books Jan Willem Wijnen, Huygens Institute National Open Access Books Platform This project will deliver a platform for the publication of academic open access books, OAbooks. nl, managed by the Dutch academic community.

The platform will be made available to university publishers and other academic organisations that wish to publish their own books according to open science principles. Furthermore, a working group with representatives from academic organisations will develop policies, criteria, quality control and a governance structure for OAbooks. nl.

The software for this platform will be further developed by the original developer PKP, in consultation with Dutch university publishers, to enhance its usability.

Detecting and linking hidden biomedical data Egon Willighagen, Maastricht University Schema-Driven Interoperability of Biomedical Data Resources for Improved Knowledge Dissemination and Reuse Biomedical data is scattered across diverse databases, each with a different scope and design, making integration and analysis challenging.

This project creates an open, interoperable framework to connect these databases, enabling efficient access and data use. By applying schema harmonization, aligning database designs, and using open science approaches, it promotes data transparency, reusability, and interoperability.

The approach implements the FAIR (Findable, Accessible, Interoperable, and Reusable) principles, ensuring analysis across databases is accurate and transparent, e.g., when combining gene expression data with gene variant knowledge. The resulting access to the integrated databases simplifies data exploration and maximizes the scientific insights.

The awarded large projects Daniel Bangert, Delft University of Technology Enabling FAIR for AI: Infrastructure for Transparency and Reproducibility of Research Software This project aims to make research data and software easier to reuse and reproduce, especially in AI. Currently, shared software often lacks the information needed to replicate results.

The project will improve transparency and long-term usability by enhancing Djehuty, the repository platform used by 4TU. ResearchData and Nikhef. This will benefit researchers, data professionals and policymakers by providing better tools and guidelines for sharing and using software responsibly, particularly software associated with AI models.

The project will also align with ongoing efforts to improve research practices and meet new regulations, enabling AI research to be more open, FAIR, ethical and reproducible.

An online platform for preregistration of animal research Steven Chamuleau, Amsterdam UMC PRIOR project - PReregistration Integration and Optimization for animal Research Preregistration—registering research protocols before studies start—should become standard in animal research. Preclinicaltrials. eu (PCT) is the first open-access, non-profit, online platform for animal study preregistration.

This project aims to make PCT a sustainable open science platform adapted to discipline-specific research, which will integrate tools to incentivise preregistration and facilitate the process and improve research quality, reporting and reproducibility. PCT benefits researchers, funders, journal editors, policymakers and society by enhancing transparency, reproducibility, and ethical research practices.

PRIOR will connect PCT with existing tools to streamline preregistration and use behavioural insights to identify and act on adoption barriers and facilitators.

Four new tools to find research materials and results Hannes Datta, Tilburg University ReproHub: Enhanced Replicability and Open Science Education for Research with Secondary and Sensitive Data Despite continuous investments into open science infrastructure, research materials—like data and code—are hard to find, and even experts struggle to reproduce research results.

ReproHub addresses these challenges with four deliverables to support researchers and other stakeholders in finding, documenting, and verifying research output: ReproBuddy (an AI tool to improve reproducibility packages), ReproRun (a system to validate results), OpenScienceRadar (a browser extension making open resources more visible), and OpenScienceHub. nl (a platform with accessible educational material).

By building on ODISSEI and Tilburg Science Hub—two Dutch open science infrastructure components—ReproHub seeks to strengthen transparency and public trust in science.

More openness in software for orbit calculations Dominic Dirkx, Delft University of Technology The General Open Orbital Dynamics (GOOD) Platform The GOOD platform tackles a key barrier in space research: orbital dynamics software is often closed-source, fragmented, or domain-specific, and inaccessible to broader communities.

As data quality, quantity, and diversity grow rapidly, this limits progress in domains ranging from space situational awareness —ensuring safe spacecraft operations— to planetary science —studying the origin and evolution of solar system bodies.

By integrating Tudat’s open-source orbital dynamics software with the WISE-based scalable data-handling system with complete data-lineage, GOOD enables a paradigm shift in the field with fully transparent, open and reproducible data and solution archiving across many applications.

Broccoli for open research information BROCCOLI – the Dutch hub for healthy open research information BROCCOLI, the Dutch hub for open research information, will bring accessible, reliable and reusable information on Dutch research actors, activities, and outputs together in an open infrastructure that facilitates evidence-informed decision-making in the Dutch research system.

The project will bring together research information experts, users and providers to collectively harvest, transform and curate the information needed for; monitoring publisher deals, responsible research evaluation.

By integrating openness into its architecture, governance, standards, inputs, and outputs, BROCCOLI operationalises open science principles and offers a collaborative and transparent approach to research information management in the Netherlands.

Reconstructing the lives of enslaved people with open science Coen van Galen, Radboud University Chains of the Past: Open Infrastructure for the Global History of Dutch Slavery and Slave Trade Connecting information from a myriad of archival records is needed to reconstruct lives of enslaved individuals, like that of Martha travelling between Surinam and Curacao to free her nephew in 1852.

Chains of the Past tackles the fragmentation and invisibilization caused by colonial ‘documentary darkness’ by expanding and solidifying open science infrastructure to create truly connected digital heritage. Empowering key stakeholders from the Dutch landscape and (formerly) colonized societies, this project creates unique possibilities to trace enslaved individuals for scholars and descendants alike.

This approach transforms citizen science and positions the infrastructure as eye-catching international showcase for (inclusive) open science.

A national infrastructure for ophthalmic images Karin van Garderen, Erasmus MC National Infrastructure for Ophthalmic Imaging Eye research and AI innovation in the Netherlands are world-class, but progress is held back by a lack of infrastructure to share medical images and AI tools across institutions.

Eye diseases are extensively imaged using diverse, high-resolution techniques, producing data with immense potential for advancing diagnosis, prognosis, and therapy. Yet, these images are stored in incompatible systems, leaving data fragmented. This project will build a secure, national platform to collect, harmonize, and share multimodal eye images and AI modules.

It will enable open, collaborative research and accelerate scientific discovery—while ensuring that patient privacy is protected.

A national publication infrastructure for diamond open access Lucinda Jones, Erasmus University Infrastructures for Diamond Open Access in the Netherlands Infrastructures for Diamond Open Access plans to set up a high-quality and flexible national publication infrastructure that can be made available to all university presses, research institutes, and other research organisations that wish to develop and publish their own articles, journals and (text)books.

The infrastructure builds upon already existing academic library-led publication infrastructures, the so-called Netherlands University Presses (NUPs), and Openjournals. All of these have demonstrated their dedication to open science principles by using technology based on open-source software, having a community-based governance and adherence to diamond open access models and FAIR data principles.

Open software for statistically responsible science Terrence Jorgensen, University of Amsterdam Infra-Structural Equation Modelling: Sustainably Scaling an Indispensable Open-Source Theory-Testing Infrastructure Structural equation modelling (SEM) is one of the most powerful, flexible statistical methods available for representing and validating scientific theories.

Commercial software packages prevent researchers from adopting fully open-science practices when utilising SEM. This project improves the quality and expands the scope of the best available open-source SEM package, lavaan, to fully realize its stated goal: 'to provide researchers and teachers a free open-source, but commercial-quality package for latent variable modelling'.

Accountability and quality-control methods will be implemented sustainably, to ensure taxpayer-funded science is conducted transparently at the highest standards. Open-access education materials will democratize access to this powerful method.

Expansion of the Research Software Directory Jason Maassen, Netherlands eScience Center Towards a community-driven and sustainable Research Software Director y The Research Software Directory (RSD) is an open-source online platform that highlights the impact of research software using a broad range of qualitative indicators. It is widely used by a diverse international community of researchers, developers and research organizations.

This project proposes to expand the RSD with a peer-review mechanism for software, improve curation support for communities and organisations, and linking to ready-to-run cloud instances and reproducibility packages to stimulate software re-use. In addition, a community-lead governance structure will be set up that ensures long-term sustainability of the RSD itself.

Sharing knowledge on citizen initiatives openly Tine de Moor, Erasmus University Collaborative Research Open Workspace for Networked data (CROWN) CROWN –an extension of the knowledge exchange platform CollectieveKracht . eu– centralizes existing and emerging datasets on citizen collectives. Through CROWN scientists and citizens co-create datasets while reaping benefits in the form of scientific and practical evidence-based insights.

CROWN involves citizens in the scientific process, leading to a different citizen-scientist relationship through firsthand experience and tangible outputs. It provides sector-umbrella organizations and policy makers with much needed insights to track the development of this emerging organizational form.

CROWN removes barriers to citizen science and embraces FAIR and open science principles to provide an open-source blueprint to citizen science projects in other fields.

Unlocking data on social and environmental factors Raun van Ooijen, UMC Groningen Unified Governance for Availability, Access, and Usage of Socio-medical data - for researchers, health professionals, policymakers, and citizens Improving population health and creating sustainable healthcare requires more than medical care; it also involves addressing social and environmental factors.

In the Netherlands, data on these factors is fragmented, poorly connected, and difficult to access. This project aims to improve access to socio-medical data through unified governance, benefiting researchers (pseudonymized or synthesized data), health professionals (training and support), policymakers (aggregated data and dashboards), and citizens (health insights).

All Dutch University Medical Centres collaborate with Health-RI (health and life-science data), ODISSEI (socio-environmental data), TNO, Lifelines/Netherlands Cohort Consortium and PHDNL to strengthen national open data infrastructures and promote cross-regional socio-medical collaboration. A better infrastructure for 3D scholarship Costas Papadopoulos, Maastricht University PURE3D 2.

0: Building a Sustainable and Open Infrastructure for 3D Scholarship PURE3D2. 0 advances web-based 3D scholarship through the creation of interactive publications (3D Scholarly Editions)—from scholarly arguments and educational curricula to museum stories—by integrating annotations, metadata, and multimodal contextual materials.

Building on the existing PURE3D infrastructure, the first open, non-commercial platform for rich 3D-based scholarly narratives, PURE3D2. 0 addresses key gaps in preservation, dynamic analysis, interoperability, and accessibility.

Through its three pillars—Workflows, Applications, and User Communities—it delivers sustainable solutions for open publication and skills development, enabling FAIR-compliant, peer-reviewed, and reusable 3D scholarship. PURE3D2. 0 strengthens leadership in digital humanities and heritage, ensuring seamless integration with (inter)national infrastructures.

International reuse of Dutch geoscientific data Ronald Pijnenburg, Utrecht University GeoFAIR: Optimizing use of high impact geoscientific data by linking to available international research infrastructure Research on global challenges like climate adaptation or natural hazards (earthquakes; sea level rise), relies on effective use of internationally available, Earth scientific data.

However, data generated in the Netherlands remain difficult to find and re-use. This is because existing infrastructure for effective sharing and re-using data remains fragmented, and poorly known. Furthermore, several national data sources are not yet linked to international data portals of EPOS or Danubius-RI.

GeoFAIR will improve the impact of Dutch Earth scientific data on global research by integrating existing digital resources into a coherent Open Science infrastructure, to support Earth scientific research globally.

Better integration of Yoda with other research infrastructures Marcel Ras, Vrije Universiteit Amsterdam Yoda as connecting infrastructure for seamless open science Yoda is a data storage system that enables scientific data to be easily shared between researchers from different Dutch institutions. Yoda preserves important information about the data, such as where it was collected and by whom.

This is known as Findable, Accessible, Interoperable, and Reusable (FAIR) data management. FAIR data management is essential to ensure that valuable data can be reused. This project will improve the Yoda system to better connect with other research infrastructures, such as the national supercomputer Snellius, allowing researchers to carry out their entire research process via a single data system.

Integrating successful open hardware initiatives into robust infrastructure Isabelle Reymen, Eindhoven University of Technology Open-source Hardware Infrastructure for The Netherlands (OSHNED) Instrumentation and equipment are vital for scientific progress, and increasingly developed as open-source hardware, aligning with Open Science principles.

The goal of this project is to integrate successful open-hardware initiatives in the Netherlands into a robust infrastructure (OSHNED) through national coordination. This involves maintaining a centralised digital repository, providing training, and identifying existing open-source hardware. The project will have three phases: setup, implementation and