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Data integrity PIC S

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

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checks (where justified based on risk), and/or a sample of previously

verified data to ensure the continued effectiveness of the routine process.

A risk-based sample of computerised system logs / audit trails to ensure

that information of relevance to GMP/GDP activity is reported accurately.

This is relevant to situations where routine computerised system data is

reviewed manually or by a validated ‘exception report’4.

A review of quality system metrics (i.e. trending) that may also be

indicators of data governance effectiveness.

5.6.3 An effective review of the data governance system will demonstrate

understanding regarding importance of interaction of company behaviours

with organisational and technical controls. The outcome of the review should

be communicated to senior management, and be used in the assessment of

residual data integrity risk.

6 ORGANISATIONAL INFLUENCES ON SUCCESSFUL DATA

INTEGRITY MANAGEMENT

6.1 General

6.1.1 It may not be appropriate or possible to report an inspection deficiency

relating to organisational behaviour. An understanding of how behaviour

influences (i) the incentive to amend, delete or falsify data and (ii) the

effectiveness of procedural controls designed to ensure data integrity, can

provide the inspector with useful indicators of risk which can be investigated

further.

6.1.2 Inspectors should be sensitive to the influence of culture on organisational

behaviour, and apply the principles described in this section of the guidance

in an appropriate way. An effective ‘quality culture’ and data governance may

be different in its implementation from one location to another. However,

where it is apparent that cultural approaches have led to data integrity

concerns; these concerns should be effectively and objectively reported by

the inspector to the organisation for rectification.

6.1.3 Depending on culture, an organisation’s control measures may be:

‘open’ (where hierarchy can be challenged by subordinates, and full

reporting of a systemic or individual failure is a business expectation)

‘closed’ (where reporting failure or challenging a hierarchy is culturally

more difficult)

6.1.4 Good data governance in ‘open’ cultures may be facilitated by employee

empowerment to identify and report issues through the Pharmaceutical

Quality System. In ‘closed’ cultures, a greater emphasis on oversight and

secondary review may be required to achieve an equivalent level of control

due to the social barrier of communicating undesirable information. The

availability of a confidential escalation process to senior management may

also be of greater importance in this situation, and these arrangements

4 An ‘exception report’ is a validated search tool that identifies and documents predetermined ‘abnormal’ data or

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

PI 041-1 10 of 63 1 July 2021

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