How to Achieve Data Integrity in the Laboratory


Access this content

Your content has been opened.

Please verify you are a human before downloading this content.

How to Achieve Data Integrity in the Laboratory has been emailed to . Entered the wrong email?

Don't see the content in your inbox?
Make sure to check your spam and other messages folders.

Can't get to your email right now?

To complete your registration and access this content, enter the sign-in code sent to your email.

Please enter a valid verification code.

Code sent to:

Also, remember to check in your spam, promotions, and other folders.

Register to access this content

By accessing content on the Pharmaceutical Manufacturing Resource Directory you agree to our Terms of Service and Privacy Policy; and, you acknowledge that your information may be shared with the content publisher.

How to Achieve Data Integrity in the Laboratory

Lack of data integrity is the main reason for most FDA warning letters. For laboratories that must comply with GLP, GMP and GAMP regulations it is important to have records or documented evidence of all relevant analyses that can be checked by a second person and are also readily available for audits. Storing results is not enough: each dataset must be complete and contain all relevant metadata. The Laboratory Data Integrity Guide illustrates safe ways to attain data integrity, with examples of analytical workflows and discussion of where data integrity might be at risk. Secure your measuring processes: learn more about data handling, SOP guidance and achieving data integrity.