In regulated laboratory environments, the integrity of data depends on more than a generic life cycle. Traditional models can be too broad to represent the different procedures, records, controls, and review steps involved in analytical workflows.

This short commentary highlights several ideas discussed in R.D. McDowall’s article “A Flexible Analytical Data Life Cycle?”:

  • active and inactive phases of analytical data
  • sample management and preparation as explicit parts of the workflow
  • second-person review and controlled retention
  • adapting the life cycle to the analytical procedure instead of forcing every process into one generic model

The practical lesson is that data-integrity controls should reflect the actual analytical process and the records it produces.

Read the original source

This page is a brief commentary and does not reproduce or host the publisher’s PDF. Read the original article on the publisher’s website:

R.D. McDowall, “A Flexible Analytical Data Life Cycle?”, Spectroscopy, September 1, 2018 →

Source: R.D. McDowall, “A Flexible Analytical Data Life Cycle?”, Spectroscopy, Vol. 33, Issue 9, 2018.