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Data integrity PIC S

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

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Area for review

Comparison of analytical data reported

by the contractor or supplier vs in-house

data from analysis of the same material

Rationale

To look for discrepant data which may

be an indicator of falsification

10.3.2 Quality agreements (or equivalent) should be in place between

manufacturers and suppliers of materials, service providers, contract

manufacturing organisations (CMOs) and (in the case of distribution)

suppliers of medicinal products, with specific provisions for ensuring data

integrity across the supply chain. This may be achieved by setting out

expectations for data governance, and transparent error/deviation reporting

by the contract acceptor to the contract giver. There should also be a

requirement to notify the contract giver of any data integrity failures identified

at the contract acceptor site.

10.3.3 Audits of suppliers and manufacturers of APIs, critical intermediate suppliers,

primary and printed packaging materials suppliers, contract manufacturers

and service providers conducted by the manufacturer (or by a third party on

their behalf) should include a verification of data integrity measures at the

contract organisation. Contract acceptors are expected to provide reasonable

access to data generated on behalf of the contract giver during audits, so that

compliance with data integrity and management principles can be assessed

and demonstrated.

10.3.4 Audits and routine surveillance should include adequate verification of the

source electronic data and metadata by the Quality Unit of the contract giver

using a quality risk management approach. This may be achieved by

measures such as:

Site audit

Review the contract acceptors organisational behaviour,

and understanding of data governance, data lifecycle, risk

and criticality.

Material testing vs CoA Compare the results of analytical testing vs suppliers

reported CoA. Examine discrepancies in accuracy,

precision or purity results. This may be performed on a

routine basis, periodically, or unannounced, depending on

material and supplier risks. Periodic proficiency testing of

samples may be considered where relevant.

Remote data review

The contract giver may consider offering the Contracted

Facility/Supplier use of their own hardware and software

system (deployed over a Wide Area Network) to use in

batch manufacture and testing. The contract giver may

monitor the quality and integrity of the data generated by

the Contracted Facility personnel in real time.

In this situation, there should be segregation of duties to

ensure that contract giver monitoring of data does not give

provision for amendment of data generated by the contract

acceptor.

PI 041-1 55 of 63 1 July 2021

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