How to Achieve Data Integrity in the Laboratory | METTLER TOLEDO

How to Achieve Data Integrity in the Laboratory


Practical Tips to Ensure Laboratory Data Integrity

Laboratory Data Integrity Guide

Laboratory Data Integrity Guide — Data Handling, SOP Guidance, Practical Examples

Lack of data integrity is the main reason for most FDA warning letters

In 2017, data integrity issues were cited in 65% of all FDA warning letters. The main reason was incomplete data, which is preventable with the right solutions. The highest risks, when not working in a compliant manner, lie in import bans, product recalls or even the closing of production plants.

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.

Laboratory data integrity in the context of 21 CFR Part 11 and EU Annex 11 Compliance

The US FDA and European Commission have defined the criteria for ensuring trustworthy and reliable electronic records and electronic signatures in computerized systems for regulated industries. Several pharmaceutical companies have recently asked for 21 CFR Part 11 certification for instruments not connected to a PC, just using the instruments' firmware. But according to experts, standalone instruments cannot be 21 CFR Part 11 compliant, and concepts presented as a feasible workaround may result in data loss or worse.

Data management with common software

Laboratory software can play a key role in a lean automated data integrity solution. Readily available software packages such as METTLER TOLEDO’s LabX™ or STARe need only be validated once, and every new analytical instrument attached will simply require an amendment via change control as the software, data management, audit trail, user management, result flow, etc. already are validated.

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