Last updated: January 19, 2026
CTDSU stands for the Clinical & Translational Data Science Unit. We publish practical guidance for people who design, run, and govern clinical research and healthcare technology programs—from data management and regulatory strategy to software selection and the responsible use of artificial intelligence in clinical workflows.
We aim to help research sponsors, CROs, sites, and health technology teams make clearer decisions about clinical data, evidence generation, and the systems that support them. Our editorial focus is on actionable explanations, transparent limitations, and references to authoritative public sources where they exist.
CTDSU is operated as an independent editorial and consulting-oriented resource focused on clinical and translational data science. Articles and guides may be authored or reviewed by contributors with experience across biostatistics, clinical informatics, regulatory science, and healthcare IT implementation. When an article includes a named author, that attribution reflects the stated author role for that piece.
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