Data Integrity

GOOD VALIDATION PRACTICE (cGVP) LABORATORY, METHOD AND ANALYTICAL VALIDATION
1

There should be a clear Laboratory incident SOP with illustrative instances an examples to act accurately whenever an error occurred due to analyst or Instrument.

Data integrity is nothing but the generated data is accurate and reliable.

please refer me any guideline representing the same.

Regards,
Bujji Reddy.

2

There is a great deal more to data integrity than is the data accurate and reliable such as is it:

  • Legible and understandable
  • Attributable
  • Contemporaneous
  • Original
  • Accurate
  • Complete
  • Consistent
  • Indelible
  • Available

Kind regards