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Clinical Dataset Structure: A Universal Standard for Structuring Clinical Research Datasets

Authors: Gasimova, Aydan; Soundarajan, Sanjay; Gim, Nayoon; Shaffer, Jamie; Owen, Julia; Lee, Aaron; Patel, Bhavesh;

Clinical Dataset Structure: A Universal Standard for Structuring Clinical Research Datasets

Abstract

This deposition contains the slides associated with our talk at ISMB/ECCB 2026, presented in the NIH/ODSS special track "Social and Technical Infrastructure to Advance Health Research". This is a full-day track hosted by the National Institutes of Health (NIH) that will explore the platforms, standards, policies, and communities that enable modern biomedical research. The session highlights NIH-funded efforts to build interoperable research ecosystems, advance FAIR data and metadata practices, promote data and software reuse, and support secure, scalable, and reproducible science. More details are available at https://www.iscb.org/ismb2026/scientific-programme/nih. We are presenting the Clinical Dataset Structure (CDS), a standardized framework for organizing multimodal clinical research data to be FAIR and AI-ready.

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