CDISC Standards for Academics
From the University Hospital Medical Information Network in Japan to NIAID in the US, research organizations rely on CDISC to support FAIR data principles, meta-analysis, and AI-ready datasets. Whether you're standardizing a single-center study or pooling results across an institutional network, here's where to begin.
On-Demand Webinar
"Academic Clinical Studies:
Fund Once, Reuse Often - Making Clinical Data Reusable by Design with Standards in Mind"
Presented in partnership with the Clinical Research Data Sharing Alliance (CRDSA) and designed to support researchers in building studies that are optimized for data reuse from the very beginning.
Recommended Courses for Academics
New to CDISC? Start with the training most relevant to academic research.
CDISC for Newcomers
A guided starting point that introduces the CDISC standards and how they fit together across the research lifecycle.
Biomedical Concepts
Understand the semantic layer that connects data across foundational standards, increasingly central to AI-ready research data.
Intro to CDISC (On Demand)
A self-paced overview you can take on your own schedule, ideal for fitting around teaching and research commitments.
Upcoming Webinars
Ways to Get Involved
Partner with CDISC to Ensure You Multiply the Impact of Your Investment in Research & Accelerate Progress.
Join a Working Group
Help develop disease-specific standards for more meaningful, efficient research, and shape the standards your field relies on.
Train Your Research Team
Bring CDISC training to your group to accelerate adoption and build standardization into your work from the start.
Partner with CDISC
Sponsor harmonization pilots, fund collaborative research, or champion CDISC-ready data to multiply the impact of every research investment.