Notebook Cleanup: Archive Analysis That No Longer Drives Decisions

Notebook cleanup starts when shared workspaces fill with old experiments, copied queries, abandoned dashboards, and half-finished analyses whose titles still look important. A stale notebook can waste attention, rerun expensive queries, confuse new teammates, or preserve outdated business definitions as if they were current.

The useful outcome is not an empty workspace. It is a library where current notebooks are easy to find, historical notebooks are archived with decision context, and expensive or sensitive code no longer runs accidentally.

Key takeaways

• Classify notebooks by current decision, reproducibility value, ownership, and data sensitivity.
• Preserve final decisions before archiving exploratory scratch work.
• Disable schedules and shared links before moving notebooks to cold storage.
• Keep research notebooks when they explain why a product or model decision changed.
• Prevent recurrence with naming, ownership, and archive rules.

Notebook Review Table

Notebook type	Evidence to collect	Cleanup signal
Scheduled analysis	Job schedule, recipients, query cost, opened reports	Nobody reads the output or schedule is obsolete
Experiment	Linked decision, model version, dataset snapshot	Result was superseded and decision is recorded
Operational debug	Incident link, runbook reference, owner	Incident is closed and runbook has the durable steps
Personal scratch	Last edit, sharing, sensitive outputs	No shared decision depends on it

Do not equate old with useless. Some notebooks are valuable because they capture assumptions behind a decision nobody wants to rediscover.

Archive Record

notebook_archive:
  title: churn_model_pricing_experiment
  decision_link: pricing_model_v3_approved
  schedules_disabled: true
  sensitive_outputs_removed: true
  archive_reason: superseded by production evaluation

This record keeps history without letting old analysis compete with current work.

Cleanup Sequence

Start by disabling schedules, exports, and shared dashboards from notebooks that are no longer current. Move decision-worthy notebooks to an archive folder with a short summary and owner. Delete personal scratch notebooks only after confirming they are not linked from project docs or incident notes.

Do not rush notebooks tied to audits, model governance, finance decisions, or customer investigations. Do not rush cleanup when notebooks contain the only known query for a metric; promote the query to a maintained definition first.

Prevention

Make new shared notebooks require an owner, purpose, data source, expected lifespan, and decision link. Add workspace views for current, scheduled, archived, and personal work so cleanup is visible. The goal is to reduce search noise without erasing the reasoning trail.

FAQ

Should every notebook have an owner?

Every shared notebook should. Personal scratch space can be looser, but anything linked from team work needs accountability.

Is archiving better than deletion?

For decision history, yes. Delete only when the notebook has no durable value or contains data that should not be retained.