Research Repository Structure
Indexes by finding rather than by study, since a study-organised archive is one nothing is ever found in again.
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Running it, start to finish
- Design around when people actually come looking and what they search for.
- Make the finding, not the report, the unit of storage.
- Assign an owner and be honest about the weekly maintenance.
What you get back
The output this produces, every time.
- Indexes findings rather than studies, so the repository answers what people actually ask.
- Links contradicting findings rather than letting one silently replace another.
- Marks findings as superseded when the product changes, since a stale finding is trusted and wrong.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Keep the taxonomy small. An elaborate tagging scheme is maintained by nobody and becomes inconsistent within a few months.
- Capture findings during the study. Recording them afterwards is extra work with a delayed payoff, and it is what does not happen.
- Do not migrate the archive. It consumes exactly the energy the new practice needs, and usually the project ends there.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.
