Links within this page: Elixir/NIH-ODSS | DREAM | Publications - Navigating Journal Submissions | Innovation at the Intersection: Industry’s Role in Bioinformatics | Stewardship Critical Infrastructure | CIT | WEB
ELIXIR/NIH-ODSS
Biodata resources are essential to life science research, providing the infrastructure that supports data sharing, analysis, and discovery. However, maintaining reliable, long-lived services while adapting to rapidly changing scientific and technological landscapes presents an ongoing challenge. This session will bring together leading experts to examine how biodata resources are evolving to meet these demands. Through a series of insightful talks and discussions, we will explore how resource managers are driving innovation, ensuring sustainability, and addressing emerging needs in the global scientific community.
Structuring Meaning: Ontologies and Knowledge Graphs in the Biodata Ecosystem
Ontologies and knowledge graphs are foundational to ensuring that biodata resources are findable, interoperable, and adaptable to scientific innovation. This session highlights leading initiatives that embed semantic frameworks into the heart of biomedical data infrastructures.
Under the Hood: Building Scalable and Sustainable Biodata Infrastructure
Robust, scalable infrastructure is the engine that powers modern biodata resources — enabling everything from efficient data delivery to the integration of advanced analytical tools. This session delves into the evolving technical foundations that support biodata platforms at scale, with a focus on strategies that balance innovation, performance, and sustainability.
Demonstrating Value: Funding Models, Impact, and Engagement in Biodata Resources
Biodata resources are essential to the global life sciences research ecosystem, but their long-term sustainability depends on more than technical excellence — it requires clear demonstrations of value, alignment with evolving user needs, and innovative funding strategies. This session brings together diverse perspectives on how biodata infrastructures can remain responsive and resilient in resource-constrained environments.
DREAM Challenges
Solving Problems. Together
The DREAM Challenges are crowd-sourcing to solve complex biomedical research questions.
Together, we share a vision to enable individuals and groups to collaborate openly so that the 'wisdom of the crowd' provides the greatest impact on science and human health. Over sixty crowd-sourced DREAM Challenges have benchmarked informatic algorithms in biomedicine. DREAM has had over 30,000 cross-disciplinary participants from around the world that have volunteered as solvers. Over 105 academic journal publications have resulted from DREAM Challenges covering a range of disease areas.
Learn more about the DREAM process - Pose > Prepare > Engage > Evaluate > Share
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Publications - Navigating Journal Submissions
Coming soon.
Innovation at the Intersection: Industry’s Role in Bioinformatics
Coming soon.
Stewardship Critical Infrastructure
Coming soon.
CIT
This full-day track will explore the transformative potential of cloud and emerging technologies in biomedical research, focusing on quantum computing, digital twins, artificial intelligence (AI), and NIH cloud cyberinfrastructure initiatives. Hosted by the National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) and Center for Information Technology (CIT), the session aims to bridge cutting-edge research and practical applications in areas like drug discovery, precision medicine, and personalized healthcare. It will bring together researchers, practitioners, and technology leaders to discuss the latest advancements and how they can revolutionize biomedical research and clinical applications.
WEB
Coming soon.
