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A how-to guide

How to Choose the Right Consent Model for Secondary Data Use

14th October 2026 · 3 min read

Data collected for one study is often valuable for a different research question later — a new analysis, a new combination with another dataset, a new study altogether. Whether that reuse is actually covered by the original consent is a question that deserves a genuine answer, not an assumption that data, once collected, is simply available for whatever comes next.

The problem

"Future research use" gets left vague enough to justify almost anything, and convenience quietly gets mistaken for consent when data is reused. When a genuinely new use for existing data comes up, it should be checked against what was actually consented to — not assumed to be covered simply because it would be convenient, or because the data is already available. Where a new use falls outside the original consent, going back for fresh consent, or seeking a properly reasoned ethics approval for the exception, is the honest route, even when it's the slower one.

The challenge

Specific, broad, and tiered consent each solve a different problem — picking wrong undermines trust. Specific consent gives participants the clearest understanding of what they're agreeing to, but is the most limiting for future reuse. Broad consent supports genuine secondary use without re-contacting every participant, but only if it's genuinely specific about what "future research" means rather than vague enough to sound like it covers everything. Tiered consent lets participants choose their own comfort level — agreeing to use by the original institution but not external commercial partners, say — rather than forcing an all-or-nothing choice.

The solution

  1. Three models solve different problems. Specific, broad, and tiered consent each fit a different reuse pattern — pick based on the study's actual plan, not habit.
  2. Match the model to how the data will genuinely be reused — a one-off analysis suits specific consent; an ongoing dataset intended to support many future studies suits broad or tiered.
  3. Be honest with participants about which model you're actually using — participant information needs to say so plainly, not use language vague enough to sound broader, or narrower, than what's actually being consented to.

Even under a broad model, a participant may later object to a specific proposed reuse once they learn what it actually involves — having a clear process for honouring that objection, and a governance body reviewing each proposed reuse, is what keeps a broad consent model honest in practice rather than becoming blanket permission. And what counts as genuinely informed broad consent shifts over time, so a model that looked adequate some years ago is worth checking again against current expectations, not assumed settled permanently.

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