Open research information is key to building a more transparent, inclusive, and impactful research ecosystem. That’s why we have joined the Barcelona Declaration on Open Research Information, reinforcing our commitment to responsible data. Currently, research metadata are often locked within proprietary systems, limiting access, analysis, and equitable evaluation. By embracing open research information, we support an environment where data are well-documented, reusable, and accessible to institutions, funders, and policymakers. At the CaixaResearch Institute, we celebrate this affiliation, which aligns with our mission to make research information open and usable. A commitment that we are turning into action through our cutting-edge Biomedical Data Hub: a unified platform built on FAIR data principles, enabling controlled and efficient data sharing across all research centres supported by Fundación ”la Caixa”. Learn more about the declaration: https://lnkd.in/emekFAFv #CaixaResearchInstitute #FAIRData #BiomedicalResearch #OpenScience #DataManagement
CaixaResearch joins Barcelona Declaration on Open Research
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This year’s International Open Access Week (October 20–26) poses a vital question: Who owns our knowledge? In an era of disruption, this theme invites us to reflect on how communities can reclaim control over the knowledge they produce—and to consider not only who has access to education and research, but also whose voices are recognized and valued in the creation and sharing of that knowledge. Over the past two years, the global open access movement has advanced community-first models like Diamond OA and Subscribe to Open (S2O). Editorial boards have reclaimed ownership of their journals, institutions are rethinking proprietary systems and faculty metrics, and researchers are increasingly acknowledging the shared nature of data and knowledge. Yet new challenges are emerging: The unconsulted use of scholarly work to train AI models and the rise of platform surveillance threaten to shift control back toward commercialization. Now more than ever, it’s essential to advocate for community-owned, community-led, and non-commercial approaches to knowledge sharing—principles reflected in the UNESCO Recommendation on Open Science and the Toluca–Cape Town Declaration. At SG Publishing, we are proud to champion Open Access models including Diamond Open Access through journals like the Journal of Community Safety and Well-Being and the Canadian Association of Naturopathic Doctors Journal (CANDJ)—ensuring that research remains open, equitable, and community-driven. Join the global conversation this #OAWeek (October 20–26) about this year’s theme at openaccessweek.org, and if you have questions about how to transition to an Open Access Model, see how we can help at https://lnkd.in/gi3uxg4U
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𝐂𝐨𝐧𝐬𝐞𝐧𝐬𝐮𝐬 𝐢𝐧 𝐖𝐞𝐞𝐤𝐬, 𝐍𝐨𝐭 𝐘𝐞𝐚𝐫𝐬 🤝 Building scientific consensus traditionally takes months to years of meetings, travel, and coordination—we're making it happen in weeks. 🚀 Sciense protocols have already enabled 250+ researchers to contribute expertise in under an hour each, fully asynchronous, eliminating geographical barriers and scheduling conflicts. Our participants shape research standards, clinical guidelines, and outcome measures through streamlined digital collaboration that captures collective intelligence without the usual resource drain. We're now expanding these methods globally, proving that rigorous consensus doesn't require endless committees or exclusive invitation lists. Join us in making scientific agreement as dynamic as discovery itself. 🔬 Shape the future of research collaboration → 𝒘𝒘𝒘.𝒔𝒄𝒊𝒆𝒏𝒔𝒆.𝒐𝒓𝒈
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“Well done is better than well said.” In clinical research, the true impact is measured not by the number of projects we list, but by the quality, scientific rigor, and outcomes of the work we produce. A strong research culture should go beyond counting publications and presentations. It should focus on designing meaningful studies, generating reliable data, and ultimately improving patient care. At the end of the day, what truly matters is how our work shapes science and impacts lives. 🚨 How do you balance quantity and quality in your research environment? #ClinicalResearch
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Meet Gateway to Digital Health — a new online hub that brings together McGill’s expertise, resources, and initiatives at the intersection of digital technology, biomedical research, and healthcare innovation. The Gateway serves as a central entry point to: 🌐 Connect with experts, platforms, and research projects across our Faculty and beyond. 🔎 Explore digital tools, data resources, and training opportunities. 💡Discover collaborations that accelerate innovation and improve health outcomes. ⭐ Digital technologies are transforming how we conduct research, deliver care, and translate discoveries into impact. Explore the site ➡️ https://lnkd.in/euUHEbhA This platform is designed to showcase our community’s strengths and make collaboration easier in this rapidly evolving space.
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SYDNEY INFORMATICS HUB SHARES EXPERTISE NATIONALLY This week, members of the Sydney Informatics Hub, a #USYD Core Research Facility, are presenting 11 sessions at the eResearch Australasia 2025 Conference in Brisbane – showcasing the group's deep expertise in digital research, AI adoption and infrastructure innovation and their collaborative spirit in advancing data-driven research across Australia. The conference is an important event, highlighting how information and communication technologies can assist with the entire research data lifecycle – from collection and storage to analysis and sharing. 📆 Tuesday 21 Oct 🎙️Darya Vanichkina (panel member): "From Awareness to Application: Exploring Researchers’ Skills Needs for Using Digital Research Infrastructure" 🎙️ Darya Vanichkina: "Driving AI Adoption in Research" 🎙️ Mike Lynch: "Sustainable Digital Humanities Collections" 🎙️ Gordon McDonald: "Future-proofing the Digital Research Infrastructure Workforce" 📆 Wednesday 22 Oct 🎙️Cameron Fong and Darya Vanichkina: "The AI Carrots Project: Building Supportive Resources for Researchers" 🎙️Mike Lynch: "Low Friction FAIR Interoperability Using RO-Crate Metadata in Text Analytics Pipelines" 🎙️Cameron Fong: "Measuring Impact – Recording Support Metrics to Uncover Trends and Drive Change" 📆 Thursday 23 Oct 🎙️Amanda Zhu: "Towards a Unified Access Infrastructure for Australia’s Life Sciences Platforms" 🎙️Sebastian Haan: "From Metrics to Meaning: A Contextual AI Platform for Research Impact Assessment" 🎙️Angus Fisk and Rose Smail (panel members): "Rewriting the Rules: AI’s Impact on Digital Research Skills Training" 🎙️Mike Lynch (panel member): "Scientific Applications and Workflows Support – Best Practices, Challenges and Approaches" See eResearch Australasia 2025 program for links to abstracts and more information ➡️ ttps://bit.ly/4osPQGP 📅 Dates: 20-24 October 2025 📍 Location: Brisbane Convention & Exhibition Centre 🔗 https://lnkd.in/gprEZ9M AeRO - Australasian eResearch Organisations Australian Research Data Commons (ARDC) #eResAU25 #DigitalResearch #AIinResearch #ResearchInfrastructure #LifeSciences #eResearch
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It’s Open Access Week! 🌍 This week is all about celebrating openness in research - sharing knowledge, improving accessibility, and building the connections that move science forward. We wanted to share a recent case study with Karolinska Institutet (KI), one of the world’s leading medical universities. KI has completely reimagined how it manages and shares its research by bringing together Symplectic Elements and Figshare, creating an end-to-end research management solution. With this integrated approach, KI has been able to: • Simplify research management and reduce admin work • Make its research more visible and discoverable • Strengthen its commitment to open science through its Strategy 2030 vision 🔗 https://lnkd.in/eubxH8p8 #OpenAccessWeek #OAWeek #OpenAccess #OpenData #OA
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OHDSI Global Symposium - State of the Community Today, George Hripcsak kicked off with a reflection on a crucial question: What leads to truth in science? He highlighted eight guiding principles: • Desire — a researcher’s personal commitment to seek truth. • Curiosity — if you ever think you’ve completely found the truth, you’ve stopped pursuing it; always expect the unexpected. • Reduce Temptation — clear rules and pre-specification help prevent cheating. • Judgment — every step of an experiment needs checks for accuracy and reliability. • Generosity — share results openly; emphasise the need for open science and publications. • Perspective — validate insights using different data, methods, and study designs. • Reach — include variation in human populations; ensure global coverage. • Honesty — don’t publish only positive results; report diagnostics and negative findings too. What is OHDSI? OHDSI is an open, global research community dedicated to generating reliable evidence from health data. At its core lies the OMOP Common Data Model, which enables standardized, reproducible analyses across many institutions and countries. OHDSI emphasizes transparency, collaboration, and scalability in real-world evidence generation. Key Statistics from Our Journey 2025 • Over 4,700 researchers across 88 countries on 6 continents, representing nearly 1 billion patient records. • A network of 4,751 collaborators, operating across 21 time zones, showing the truly global span of the community. • In Europe, the DARWIN EU network includes 30 data partners in 16 countries, covering more than 181 million patients on OMOP. • There are 17 National Nodes in Europe (including OHDSI Belgium), 145 data holders, and over 800 individual members. My personal reflection: What do we mean by 'truth'? Truth in science isn’t a fixed destination but a direction. It evolves. What we considered true in the past may no longer hold up — yet can still contain valuable insight. In that sense, the strength of OHDSI is exactly its openness to learning, its commitment to collaboration, and its willingness to embrace negative as well as positive outcomes. As I wrote in the OHDSI Testimonials report: “The OHDSI community is something I return to often because I find it energising. Being a bridge-builder can be a lonely role—you often operate at the edge of multiple domains. But OHDSI has always felt like a welcoming place, where people think together, help each other, and genuinely care. It’s a source of support and inspiration in a world that can be complex and demanding.” I believe this spirit — of mutual help, shared curiosity, global reach, and rigorous honesty — is what moves us closer to meaningful, trustworthy insight. Photo note: Here I am with Patrick Ryan and Craig Sachson just before the symposium begins. Huge congrats to the team for pulling this off — your energy, collaboration, and commitment really show.
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How 🇪🇺 EU - US 🇺🇸 research collaboration is delivering far-reaching benefits Transatlantic research cooperation has led to critical new discoveries and opened new economic opportunities. From tackling rare diseases to applying AI across a range of fields, scientific collaboration has the capacity to transform lives. This CORDIS Results Pack showcases the strength of research collaboration between the European Union and the United States across 13 EU-funded projects (including ERDERA / European Rare Disease Research Alliance), which are bringing benefits to citizens on both sides of the Atlantic. Inserm : National Institute of Health and Medical Research - 🇫🇷 🇪🇺 #France #Europe #Research #Innovation #Health https://lnkd.in/dQqPUdeU
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Live from EFMI-European Federation for Medical Informatics in Osnabrück: showing how secure FAIR research collaboration can work. Today we presented a live demo of TRACE, the Trusted Research Access & Cooperation Environment, from both the researcher and admin perspectives. With TRACE, institutes like the Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE) can grant international collaborators access to study data without losing control: researchers can apply for data, work in RStudio, JupyterHub, or Nextcloud, and analyze everything securely inside the environment. No data downloads, no leaks. A big part of this is our virtual monitor, built on Emmanuel FARHI's DART framework and customized by Nikolaus von Bomhard to fit seamlessly into TRACE. Every export of results still needs approval by the data owner: ensuring transparency and accountability throughout the research process. Collaboration without data loss, that’s the vision behind TRACE. Example Imagine an Australian researcher applying for access to IBE study data. Through TRACE she can log in remotely, work securely in the IBE intranet in Munich using RStudio, JupyterHub, or Nextcloud, explore and analyze the data, but never download it to Australia on her PC. Every result export still requires approval from the data owner in Munich, ensuring that collaboration happens without losing control. Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V. #efmi #datasharing #research #fair #science #softwareengineering #opensource
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🎬 If a firm wants to adopt an open science approach in drug discovery, what steps should they take? In this episode, I spoke with Richard Gold about the practical aspects of implementation: defining goals, deciding what to share, and building the right communities. Open science is a strategic approach that accelerates progress and avoids duplication. However, making it work takes planning, from IP choices to data standards, and often guidance from experts such as IP lawyers or knowledge mobilization specialists. 📽 Watch the full conversation below.
🎬 If a firm wants to adopt an open science approach, what steps should they take? In this fourth video in our series on open science in drug discovery, we discuss practical steps for implementing open science. We recommend starting with clear goals, whether developing treatments for rare diseases, exploring research questions, or creating commercial products. Teams can then determine what information to share, which skills and institutions are needed, and how openness can accelerate progress and prevent duplication. Implementation includes contracts, IP decisions, data standards, and building collaborative communities, especially for AI models. Not everything can be shared due to privacy or legal limits, but sharing as much as possible leverages collective knowledge. If guidance is needed, experts or organizations like Conscience can help design and implement an effective open science strategy. 📽 Watch the full conversation with Richard Gold and Resham Chhabra, Ph.D., PMP, BCMAS below We’d love to hear your thoughts on open science in drug discovery. What questions do you have? Let us know in a comment or DM and we’ll do our best to address them. #OpenScience #DrugDiscovery #Collaboration #Innovation #LifeSciences
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