How data and technology can foster collaboration in research

🔍  𝗡𝗲𝘄 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: “𝗧𝗵𝗲 𝗽𝗮𝗿𝗮𝗱𝗼𝘅 𝗼𝗳 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 – 𝗛𝗼𝘄 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 𝗰𝗼𝘂𝗹𝗱 𝘂𝗻𝗱𝗲𝗿𝗺𝗶𝗻𝗲 𝘁𝗵𝗲 𝘂𝗽𝘁𝗮𝗸𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮 𝘀𝗵𝗮𝗿𝗶𝗻𝗴 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀” How can open-science funding policies best encourage researchers to share data and when might they actually discourage it? In their latest Research Policy article, Know Center researchers Thomas Klebel and Tony Ross-Hellauer, together with Federico Bianchi and Flaminio Squazzoni (University of Milan), use 𝗮𝗴𝗲𝗻𝘁-𝗯𝗮𝘀𝗲𝗱 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 to simulate how different research-funding schemes influence long-term data-sharing behaviour. 💡 𝗞𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁: While competitive, large-grant schemes can trigger faster short-term data sharing, they may 𝘂𝗻𝗱𝗲𝗿𝗺𝗶𝗻𝗲 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗲𝗱 𝘂𝗽𝘁𝗮𝗸𝗲 in the long run, as uncertainty and resource inequality discourage continuous open-data practices. More distributive funding, by contrast, may foster 𝘀𝗹𝗼𝘄𝗲𝗿 𝗯𝘂𝘁 𝗺𝗼𝗿𝗲 𝘀𝘁𝗮𝗯𝗹𝗲 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 of data sharing over time. The findings highlight a delicate balance: reforming research incentives toward 𝗢𝗽𝗲𝗻 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 requires not only mandates but also 𝘀𝘆𝘀𝘁𝗲𝗺𝗶𝗰 𝘀𝘂𝗽𝗽𝗼𝗿𝘁, 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 to make openness sustainable. 📖 Read the full open-access article in Research Policy (Elsevier): https://lnkd.in/dAU6GsaR #OpenScience #DataSharing #ResearchPolicy #KnowCenter #TrustworthyAI #SciencePolicy #AgentBasedModeling #HorizonEurope #TIER2 #AIDrivesUs

We all have the same 24 hours in a day. But I’ve learned that how we use those hours depends less on time management - and more on mission alignment. My work in health innovation and my involvement in building a scientific social platform might look like two different paths. In reality, they’re deeply connected by one idea: bridging science and access. On one side, it’s about bringing novel therapies to patients faster - navigating the science-to-market gap. On the other, it’s about making scientific knowledge itself more transparent, searchable, and collaborative. Both depend on trust, collaboration, and the belief that progress happens when we connect people, data, and ideas. And maybe that’s the real trick to time - not doing more, but doing things that move in the same direction.

Data accuracy doesn’t start with technology. It starts with cultural relevance. At Luziaries, every insight begins with one core question: Is the data culturally responsive enough to be trusted? Building alignment with collaborators and stakeholders is just as essential. It’s how we ensure that impacted communities remain at the heart of the research process. Why? When community voice is missing, research insights & outcomes lose depth while decisions lose alignment. Our approach integrates cultural frameworks into every phase of research design to ensure insights reflect lived realities, not assumptions. We are so excited to share advancements on a research framework we have been developing for over 2 years now. 📣 Tell us: what does “culturally relevant research” look like to you and/or in your field? #CulturallyResponsiveResearch #CommunityBasedResearch

Ever wondered what makes research data truly FAIR? FAIR — Findable, Accessible, Interoperable, Reusable — data principles have become the global standard for how science manages and shares data, but turning those principles into practice can be challenging. Frontiers FAIR² Data Management takes FAIR to the next level, making it practical and scalable. Researchers can publish peer-reviewed, citable Data Articles, gain recognition and ensure their datasets remain discoverable and reusable. Discover how Frontiers FAIR² puts FAIR principles into action ➡️ https://lnkd.in/eJJynVmZ #ResearcherChampions #ScienceUnleashed

Dark Matter Labs' initiative Beyond the Rules invites us to rethink how we organize, govern, and collaborate in response to 21st-century complexity. Rather than defaulting to control and compliance, the project explores governance rooted in stewardship, collective agency, and emergent alignment. It’s a practice-oriented inquiry into how public good ecosystems can thrive—not by enforcing rules, but by cultivating trust, adaptability, and shared purpose. Beyond the Rules is part of Dark Matter Labs’ broader mission to navigate complexity at the human pace. That means slowing down when needed, listening deeply, and designing systems that honor nuance over efficiency. It’s a call to move from transactional logic to relational intelligence. As institutions face mounting pressure to evolve, this initiative offers a timely provocation: What if the future of governance isn’t about more rules—but better relationships? 👉 "Beyond the Rules" Notion site: https://lnkd.in/g5sYv-bR #SystemsThinking #ComplexityScience #PublicPolicy

Conflict in research teams can disrupt experiments and data analysis. Addressing issues openly ensures smoother collaboration and more reliable results. Don't let conflicts stall your scientific progress. #Research #TeamScience #ConflictResolution

At Living Data 2025 in Bogotá, our colleagues Marie Alavi and Vanessa-Ariane Guzek Hernando presented “Ensuring continuous open data flow on the state of Open Science – GATE’s service for reliable research and optimum Open Science capacity building, practice and policies.” Their presentation showcased how GATE acts as a collaborative ecosystem — connecting knowledge creators, research communities, data infrastructures, and policy actors — to strengthen Open Science through trustworthy data practices, FAIR(-R) standards, and responsible conduct of research. Through its GATE Lifecycle, the platform continuously integrates community-contributed knowledge into actionable guidance, shared via the GATE Report, helping institutions align their Open Science materials, training, and policies for real-world impact. 👏 A heartfelt thank you to all participants of #LivingData2025 for engaging in this dialogue on sustainable and responsible data openness — and to our partners #NERQ, Kiel University, Pensoft Publishers, and MILLER INTERNATIONAL KNOWLEDGE (MIK) for their support. 🔗 Discover more: www.openscienceGATE.com

October is a pivotal month in the world of university research. For many of us, it marks the start of a new fiscal year, bringing a dual challenge: compiling year-end reports for last year's awards while simultaneously kicking off new projects. The real challenge isn't just the volume of work, but the strategic insight we're expected to provide. Leadership wants to know: What were our biggest successes last year? Where are the emerging trends in our research portfolio? Answering these questions requires digging through countless documents and siloed systems. This annual data scramble often feels reactive, a race to meet sponsor deadlines. But what if we could be more proactive? What if we could use this moment not just for reporting, but for real-time strategic planning? Having immediate access to portfolio-wide data would allow us to move from simply closing out the books to identifying new collaboration opportunities and aligning this year's efforts with our institution's long-term goals. Shifting from a manual, months-long process to an instant analysis would be a game-changer for strategic decision-making in research offices everywhere. #moonbase #moonbaseAI #moonbaseBiz #TechTransfer #ResearchCommercialization #InnovationInHigherEd #UniversityResearch #ResearchImpact #HigherEdInnovation #AcademicInnovation #AIforGood #R1Universities #ResearchToImpact #FutureOfInnovation

Building national-scale products changes how you think about technology — it becomes less about features, and more about people. When I first joined the Federated Research Data Repository (FRDR) team, I didn’t realize how much collaboration it would take to build something truly national — a bilingual platform designed to make Canadian research data more findable, accessible, interoperable, and reusable (FAIR). Over time, I’ve seen that the most powerful part of this work isn’t the technology itself — it’s the people behind it. Researchers, curators, preservation expert, and developers across institutions coming together with a shared goal: to make data stewardship open, secure, and sustainable for Canada’s research community. As Product Lead, my focus is on bridging the technical with the human — designing scalable systems that work for everyone, while staying grounded in the realities of how research happens. Building infrastructure at this scale has taught me that product leadership is about empathy, clarity, and collaboration just as much as it’s about design and data. In the months ahead, I’ll be sharing reflections on what it means to build meaningful systems for research — lessons from FRDR, product thinking in open science, and the small decisions that make big impact. If you work in research data, digital infrastructure, or product strategy — I’d love to connect and learn from your experiences too. #OpenScience #ResearchData #FAIRData #ProductLeadership #DigitalResearchInfrastructure #RDM #CanadaResearch

𝐌𝐞𝐭𝐫𝐢𝐜𝐬 𝐚𝐫𝐞𝐧’𝐭 𝐭𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. 𝐓𝐡𝐞 𝐰𝐚𝐲 𝐰𝐞 𝐮𝐬𝐞 𝐭𝐡𝐞𝐦 𝐢𝐬. Numbers can be useful. They help us track progress, benchmark performance, and understand patterns over time. But when they become the definition of quality, we lose sight of what those numbers were meant to represent. The problem isn’t data. It’s distortion. When we rely on metrics alone, we flatten the very things that make research meaningful: curiosity, collaboration, creativity, and care. The work that shapes people, practice, and policy often doesn’t fit neatly into a citation count or journal ranking. Responsible research assessment isn’t about throwing metrics out. It’s about balancing numbers with narrative, and evidence with context. It’s about creating a system that values diverse forms of contribution, where impact can be found in a paper, a partnership, a policy brief, or a conversation that changes how someone thinks. Reform doesn’t mean chaos. It means clarity. It means recognising excellence in all the ways it shows up. I’m developing new ways to connect research, communication, and strategy, helping researchers, teams, and organisations design and share their impact with clarity and purpose. This work is growing into something broader, supporting people who want to tell their stories well, run meaningful events, and build stronger engagement around what they do. C̳o̳n̳t̳a̳c̳t̳ ̳m̳e̳ ̳f̳o̳r̳ ̳m̳o̳r̳e̳ ̳i̳n̳f̳o̳.̳ #𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 #𝐈𝐦𝐩𝐚𝐜𝐭 #𝐇𝐢𝐠𝐡𝐞𝐫𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 #𝐃𝐎𝐑𝐀 #𝐀𝐜𝐚𝐝𝐞𝐦𝐢𝐜𝐂𝐮𝐥𝐭𝐮𝐫𝐞 #𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡