Data Integrity Challenges with Spreadsheets
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The pharmaceutical and biotechnology industry continues to struggle with understanding how to validate and manage the integrity of data generated by spreadsheets.
One of the biggest challenges is the fact that
companies normally don’t have an inventory of spreadsheets used for GMP
operations. The lack of an inventory is a key indicator of the lack of
knowledge of the number of spreadsheet that require validation and that must
meet data integrity requirements.
This create a significant compliance and
business risk because companies normally have spreadsheets that are not in a
state of control and that don’t meet regulatory expectations related to
validation and data integrity.
Another challenge is the fact that those legacy
spreadsheets are not properly configured to enable functions that provide
alignment with data integrity requirements.
Legacy spreadsheets that are not properly
configured to enable data integrity and often lack adequate logical security,
cell protection and technical controls needed to ensure the accuracy and
integrity of the data during its lifecycle.
The following challenges are found in legacy
spreadsheets:
·
Compliance risk
·
Business risk
·
Data integrity issue
·
Product quality risk
·
Risk to the patient
Spreadsheet data integrity can be compromised in
a number of ways:
·
Human errors when
spreadsheet data is entered
·
Errors that occur when
spreadsheet data is transmitted from another application using macros or
interfaces
·
Software bugs or viruses
·
Hardware malfunctions,
such as disk crashes
·
Natural disasters, such
as fires and floods
·
Lack of adequate
security
One of the biggest spreadsheet data integrity
challenges is the individuals responsible for data entry. Intentional
manipulation of spreadsheet data has been found by regulatory agencies during
inspections.
These include the following examples:
·
Malicious manipulation
of spreadsheet data
·
Intentional deletion of
failed spreadsheet
·
Intentional manipulation
of failed spreadsheet data results
·
Manipulation of
unprotected formulas and calculations
Procedure and technical controls are needed to
ensure data integrity during the spreadsheet data lifecycle. The lack of
procedure controls creates the risk of malicious and intentional spreadsheet
data integrity issues.
Need to develop strategies to address these
challenges and reduce the risk associated with legacy spreadsheets these
articles will discuss some strategies that enable data integrity.
“Trust but Verify “ Ronald Reagan
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Data Integrity App |
Our Data integrity app will helpful for understanding what Data integrity & CSV really means & How 21 CFR Part 11, EU Annex 11 & other regulatory guidelines affects in pharmaceutical Industry.
- Basic Data Integrity Concepts
- ERES & Its Requirement
- CSV & Its best practices
- Mock Inspection and General Q&A
- Checklist for inspection
- Inspection Readiness
- Useful SOP’s
- Stay Regulatory Compliant.
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