Data Integrity Insights

What is Data Integrity?

Data integrity refers to the accuracy and consistency of data. It ensures that data remains unchanged during operations such as transfer, storage, or retrieval. Common methods to ensure data integrity include error detection codes, checksums, cryptographic hash functions, and access controls. It's critical for reliable data analysis, reporting, and decision-making.

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What other technologies are related to Data Integrity?

Data Integrity Complementary Technologies

Annex 11

Annex 11 is a set of guidelines for computerized systems used in the pharmaceutical industry, focusing on data integrity and system validation, therefore strongly complementing data integrity efforts.

mentioned alongside Data Integrity in 24% (55) of relevant job posts

21 CFR Part 11

21 CFR Part 11 outlines the FDA's requirements for electronic records and electronic signatures, emphasizing data integrity, audit trails, and system validation, thus highly complementary to data integrity.

mentioned alongside Data Integrity in 7% (176) of relevant job posts

GAMP5

GAMP 5 (Good Automated Manufacturing Practice) provides guidance on the validation of automated systems in regulated industries, ensuring data integrity through the system lifecycle. Therefore, it is strongly complementary.

mentioned alongside Data Integrity in 8% (153) of relevant job posts