Checklist

Data Readiness Checklist

Questions to answer before starting any AI or DOE project on process data.

All documents

Inventory

  • Which tools and recipes are in scope?
  • Where do run records live (spreadsheets, MES, tool logs, notebooks)?
  • Which metrology results are tied to each run, and how?
  • Are failed and aborted runs recorded too?

Quality

  • Are units and naming consistent across time and operators?
  • Are tool maintenance events and chamber history logged?
  • How are outliers and re-measurements handled?

Goals

  • Which output properties matter most (thickness, uniformity, stress, resistivity, defects)?
  • What are the specification limits and acceptable trade-offs?
  • What is the cost of one additional experimental run?

Access and confidentiality

  • Who owns the data and who can approve sharing it?
  • What confidentiality terms are required?
  • Can data leave your site, or must work happen on your infrastructure?

© 2026 Mina AI Labs LLC. General information only; not professional advice.