Practical, sourced guides to clinical research data management — the practice itself, the regulatory and funding environment studies operate in, and the technology that supports the work. Written to be useful whether or not you are currently evaluating software.
A structured, non-promotional approach to selecting an EDC system: requirements before demos, the six technology categories, capability-based evaluation, regulatory considerations, total cost, and the questions vendors should be able to answer.
Published September 1, 2026
A plain-language explainer of the main clinical research system classes — what each does, what data lives where, how they connect, who uses them, and the confusions that trip up newcomers.
Published September 1, 2026
How a protocol becomes a locked, analyzable database: study definition and eCRF build, user acceptance testing, capture, cleaning and queries, medical coding, reconciliation, blinded reviews, soft and hard lock, delivery and archive — and what commonly goes wrong along the way.
Published September 1, 2026
A serious introduction to the clinical research funding environment: NIH and other academic funding, foundations, commercial sponsorship and CRO contracting, per-subject economics — and how funding structures shape data management decisions.
Published September 1, 2026
One of the most common decisions in clinical research data management: when REDCap fits, when a commercial EDC system is the right call, when a configurable research platform makes sense — and why most institutions end up running more than one.
Published September 1, 2026
A practical introduction to clinical research data management: how study design, database build, capture, cleaning, coding, lock, and archiving fit together — and how the work varies across study types and settings.
Published September 1, 2026
More guides are being researched and written — including validating a study database, building an EDC RFP, and preparing for data sharing. We publish guides when they meet our editorial standards, not before.