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Data integrity PIC S

good practices for data management and integrity in regulatory GMP/GDP environments

good practices for data management and integrity in regulatory GMP/GDP environments

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Data Integrity

The degree to which data are complete, consistent, accurate, trustworthy, reliable and

that these characteristics of the data are maintained throughout the data life cycle.

The data should be collected and maintained in a secure manner, so that they are

attributable, legible, contemporaneously recorded, original (or a true copy) and

accurate. Assuring data integrity requires appropriate quality and risk management

systems, including adherence to sound scientific principles and good documentation

practices. The data should comply with ALCOA+ principles.

Data Lifecycle

All phases in the life of the data (including raw data) from initial generation and

recording through processing (including transformation or migration), use, data

retention, archive / retrieval and destruction.

Data Quality

The assurance that data produced is exactly what was intended to be produced and fit

for its intended purpose. This incorporates ALCOA + principles. 14

Data Ownership

The allocation of responsibilities for control of data to a specific process owner.

Companies should implement systems to ensure that responsibilities for systems and

their data are appropriately allocated and responsibilities undertaken.

Dynamic Record

Records, such as electronic records, that allow an interactive relationship between the

user and the record content. 13

Exception Report

A validated search tool that identifies and documents predetermined ‘abnormal’ data

or actions, which require further attention or investigation by the data reviewer.

Good Documentation Practices (GdocP)

Those measures that collectively and individually ensure documentation, whether

paper or electronic, meet data management and integrity principles, e.g. ALCOA+.

Hybrid Systems

A system for the management and control of data that typically consists of an electronic

system generating electronic data, supplemented by a defined manual system that

typically generate a paper-based record. The complete data set from a hybrid system

therefore consists of both electronic and paper data together. Hybrid systems rely on

the effective management of both sub-systems for correct operation.

Master Document

An original approved document from which controlled copies for distribution or use can

be made.

14 ‘GXP’ Data Integrity Guidance and Definitions, MHRA, March 2018

PI 041-1 62 of 63 1 July 2021

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