Management of Corrosion Data, Assessment, Recommendations, and Implementation
What the exam expects
Data management turns raw measurements into decisions. Candidates must know:
- Data governance: collection standards, calibration, storage, and access.
- Assessment: trend analysis, risk ranking, and verification.
- Recommendations: actionable, prioritized, and tied to mechanism and risk.
- Implementation: ownership, schedule, and verification of completion.
Traps in questions
- Producing recommendations without owners or dates.
- Treating data storage as data management; governance includes quality and access.
- Failing to close the loop on implementation.
- Ignoring data gaps as a finding.
Worked example
A review finds rising ER rates in three lines. The correct output is a prioritized recommendation with owner, date, and verification method, plus a note on data gaps. Rule of thumb: a recommendation without an owner and a date is not a recommendation.