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21 avril 20266 min de lecturePar NextLabs Team
Why Lab Data Becomes Unusable Over Time
Most lab data doesn’t age well. Not because it’s wrong, but because it loses context.
Lab data rarely disappears. It becomes unusable.
Data without context
A result without context cannot be trusted.
- which protocol was used?
- which samples?
- which conditions?
The slow decay
Data decays when:
- protocols change
- team members leave
- systems are disconnected
Reconstructing becomes impossible
Without linked systems, understanding past experiments becomes guesswork.
Preventing decay
Data must be:
- linked to execution
- versioned
- contextualized
Data is only as valuable as your ability to understand it later.
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