Data Integrity
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Explore more → **Data Integrity**
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.
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.
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.
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.
Number of organizations that mention technology
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Which job functions commonly mention Data Integrity?
Test Engineer
58 Test Engineer jobs mention Data Integrity
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jobs on Sumble
Quality Engineer
41 Quality Engineer jobs mention Data Integrity
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jobs on Sumble
Quality Assurance
119 Quality Assurance jobs mention Data Integrity
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jobs on Sumble
Engineer
366 Engineer jobs mention Data Integrity
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jobs on Sumble
Operations
214 Operations jobs mention Data Integrity
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jobs on Sumble
Which organizations are mentioning Data Integrity?
Johnson & Johnson
Health Care and Social Assistance
Kenvue
Health Care and Social Assistance
ABIOMED
Health Care and Social Assistance
Takeda Pharmaceuticals
Manufacturing
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