Description
- Users create experiments with the same or very similar titles (e.g., “Solubility Test”).
- It becomes difficult to distinguish them in search and reports, especially across projects.
- Users may open or modify the wrong experiment.
Solution
- Naming conventions:
- Adopt a naming pattern that includes:
- Short descriptive name + date or batch ID (e.g., “Solubility_2024‑Q1_Batch1”).
- Or include project/study codes if important.
- Adopt a naming pattern that includes:
- Use additional metadata:
- Populate fields such as:
- Project, study, campaign.
- Assay type or indication.
- Then filter on these fields in search and lists.
- Populate fields such as:
- UI usage:
- Encourage users to rely on both Title and KAT ID when identifying experiments.
- Display KAT ID and project in list views where possible.
- For legacy experiments:
- Consider revising titles to be more specific where confusion is common, following agreed naming rules.
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