Risk-based approaches are encouraged by ICH E6 and widely discussed, but turning the idea into daily practice can be harder than it sounds. At its core, the idea is simple: direct effort towards the data and processes that matter most to participant protection and the reliability of results.
Start with what the study cannot afford to get wrong
Critical data typically include primary and key secondary endpoint measurements, safety data and eligibility information. Identifying these with the clinical and statistical team gives data management a defensible focus.
Proportionate cleaning
- Apply tight, automated edit checks to critical data.
- Use targeted or sampled review for lower-impact fields.
- Revisit the balance as accumulating data reveal where problems actually occur.
Let the data tell you where to look
Central review of trends (outliers, unusual distributions, site-level patterns) can reveal issues that individual queries never will. The aim is to detect systematic problems early, not to exhaustively inspect each value.
Document the why
An approach is only defensible if its rationale is written down. The data management plan should explain what was prioritised, what was not, and how the approach will adapt during the study.
This article is for general information only and is not medical, regulatory or legal advice.
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