Data integrity is one of the hottest topics in pharmaceutical regulation today. For peptide manufacturers, getting data integrity right is not optional. It is essential.
When your data cannot be trusted, nothing else matters. Your batch records, test results, and stability data all depend on having reliable, accurate information.
- Data integrity means ensuring all records are complete, consistent, and accurate from creation through archival across your entire peptide facility.
- Apply the ALCOA+ framework to every record type including lab notebooks, batch records, electronic systems, and equipment logs.
- Always record data contemporaneously because backdating records constitutes fraud and can result in criminal charges from regulators.
- Maintain audit trails for all electronic systems and review them regularly to detect unauthorized changes or deletions.
- Build a data integrity culture through ongoing training, clear management accountability, and encouraging employees to report concerns without fear.
- Conduct routine self-assessments using a structured checklist to identify and correct data integrity gaps before regulators find them.
What Is Data Integrity?
Data integrity means that your data is complete, consistent, and accurate throughout its entire life cycle. From the moment data is created to the moment it is archived, it must be protected from unauthorized changes.
For peptide manufacturing, data integrity applies to everything. This includes lab notebooks, electronic records, batch production records, and equipment logs.
The concept is simple, but putting it into practice can be challenging. Modern peptide facilities generate enormous amounts of data every day.
The ALCOA+ Framework
The most widely used framework for data integrity is ALCOA+. This stands for Attributable, Legible, Contemporaneous, Original, and Accurate, plus Complete, Consistent, Enduring, and Available.
| ALCOA+ Principle | What It Means |
|---|---|
| Attributable | You can tell who created or changed the data |
| Legible | The data can be read and understood |
| Contemporaneous | Data was recorded at the time the activity happened |
| Original | The data is the first recording (or a verified copy) |
| Accurate | The data is correct and truthful |
| Complete | All data is present, nothing is missing |
| Consistent | Data elements match across related records |
| Enduring | Data is stored on permanent media |
| Available | Data can be retrieved when needed |
Attributable
Every piece of data must be linked to the person who created it. In paper records, this means a signature and date. In electronic systems, this means a secure login and audit trail.
For peptide labs, this is especially important for analytical results. You need to know who ran each HPLC analysis and when.
Legible
Data must be readable. Illegible handwriting in batch records is a common finding during FDA inspections.
If you must correct a paper record, draw a single line through the error, write the correction, and sign and date it. Never use correction fluid or overwrite entries.
Contemporaneous
Record data at the time you perform the activity. Do not wait until the end of the shift to fill in your batch record.
Backdating records is one of the most serious data integrity violations. It is considered fraud and can lead to criminal charges.
"I have seen facilities where analysts recorded results hours after testing was complete. This is not just a data integrity problem. It is a trust problem. If your data is not recorded in real time, regulators will question everything," warns Dr. Thomas Hartley, a quality systems consultant who specializes in FDA compliance.
Original
Keep the original data or a verified true copy. For electronic systems, this means protecting the original data files.
In peptide analytical labs, the original data includes raw HPLC chromatograms, not just processed results. The FDA expects you to keep and be able to retrieve these raw files.
FDA Enforcement on Data Integrity
The FDA has been cracking down on data integrity violations in recent years. Many warning letters and import alerts cite data integrity problems.
According to FDA inspection data, data integrity-related observations accounted for a significant portion of all FDA warning letters issued to pharmaceutical manufacturers. Between 2015 and 2023, over 100 warning letters specifically cited data integrity violations.
Common FDA Findings
- Deleting test results and retesting until passing results are obtained
- Sharing login credentials for electronic systems
- Backdating records
- Failing to maintain audit trails
- Using scratch paper instead of controlled documents
- Manipulating chromatographic integration parameters
Data Integrity for Paper Records
Even in the age of electronic systems, many peptide facilities still use paper records for some activities. Paper records need their own data integrity controls.
Best Practices for Paper Records
- Use controlled, numbered logbooks and forms
- Fill in all fields (write "N/A" for fields that do not apply)
- Sign and date every entry
- Make corrections properly (single line, initial, date)
- Never use pencil
- Never tear out pages from logbooks
- Keep records in a secure location
Data Integrity for Electronic Systems
Electronic systems create their own data integrity challenges. The FDA's 21 CFR Part 11 regulation sets the requirements for electronic records and electronic signatures.
Key Requirements for Electronic Systems
- User access controls (unique IDs and passwords)
- Audit trails that capture all changes
- Data backup and recovery procedures
- System validation
- Electronic signature controls
- Security against unauthorized access
Audit Trails
An audit trail is an automatic recording of who did what, when, and why. Every electronic system that generates GMP data should have an enabled, secure audit trail.
Audit trails must be reviewed regularly. Do not just have them turned on. Actually look at them to check for unusual activity.
System Validation
All computerized systems used in GMP activities must be validated. This means you have documented proof that the system does what it is supposed to do.
Validation includes testing the system's functions, security, and audit trail. You also need to verify that data can be backed up and recovered.
For more on electronic record compliance, see our article on electronic batch record compliance.
Data Life Cycle Management
Data integrity is not just about creation. You need to manage data through its entire life cycle.
| Life Cycle Stage | Key Activities |
|---|---|
| Creation | Record data accurately and contemporaneously |
| Processing | Calculate, transform, or summarize data properly |
| Review | Verify data for completeness and accuracy |
| Storage | Keep data secure and accessible |
| Retrieval | Be able to find and read data when needed |
| Destruction | Destroy data properly when retention periods expire |
Data Review
Second-person review of data is a critical control. Someone other than the person who created the data should review it for completeness and accuracy.
For peptide analytical data, this means a supervisor should review chromatograms, calculations, and results. Look for anomalies, such as unusually perfect results or results that do not match trends.
Data Backup
Back up your data regularly. Store backups in a separate location from the original data.
Test your backup and recovery procedures at least once a year. A backup that cannot be restored is worthless.
Building a Data Integrity Culture
Data integrity is not just about systems and procedures. It is about culture.
If your employees feel pressured to get certain results, they may be tempted to cut corners. Create an environment where honesty is valued above all else.
Training
Train all employees on data integrity principles. Make sure they understand why data integrity matters, not just what the rules are.
Repeat training regularly. New employees should receive data integrity training during onboarding.
Management Responsibility
Senior management must lead by example. They should never pressure employees to achieve specific results.
Management should also provide adequate resources. If a lab is understaffed and analysts are rushed, data integrity risks increase.
For workforce planning in peptide facilities, check out our workforce solutions for peptide labs.
Self-Assessment
Conduct regular data integrity self-assessments. Walk through your facility and look for vulnerabilities.
Self-Assessment Checklist
- Are all electronic systems validated?
- Are audit trails enabled and reviewed?
- Do all employees have unique login credentials?
- Are paper records controlled and complete?
- Is there a policy against sharing passwords?
- Are data integrity expectations clearly communicated?
- Is there a process for reporting data integrity concerns?
- Are backup procedures tested?
Responding to Data Integrity Issues
When you discover a data integrity issue, act quickly. Here is what to do.
- Assess the scope of the problem
- Quarantine any affected products
- Investigate the root cause
- Take corrective action
- Evaluate the impact on released products
- Report to regulators if required
- Document everything
- Prevent recurrence
Do not try to hide data integrity issues. Transparency with regulators is always the better approach.
Frequently Asked Questions
What is the most common data integrity violation in peptide labs?
The most common violation is failing to maintain complete records. This includes not recording out-of-specification results, deleting failed test runs, and not documenting deviations. Incomplete data gives a false picture of product quality.
Does 21 CFR Part 11 apply to all electronic systems?
Part 11 applies to electronic records that are required by FDA regulations or used in place of paper records. Not every spreadsheet or database falls under Part 11, but any system that generates, stores, or manages GMP-critical data likely does.
How long must data be retained?
Data related to drug manufacturing must be retained for at least one year past the expiration date of the batch. For some types of records, longer retention may be required. Check with your regulatory team for specific requirements.
Can I use cloud storage for GMP data?
Yes, but you need to validate the cloud system and ensure it meets 21 CFR Part 11 requirements. You also need to verify that data is secure, backed up, and available when needed. Make sure your cloud provider meets your data integrity standards.
What should I do if I suspect an employee is manipulating data?
Take the concern seriously and investigate immediately. Involve your quality unit and, if appropriate, your legal team. Protect the employee who reported the concern from retaliation. If the investigation confirms manipulation, take appropriate disciplinary action and assess the impact on product quality.
How often should audit trails be reviewed?
Audit trails should be reviewed as part of the data review process for each batch or analysis. A more comprehensive review of audit trail activity should be conducted periodically (monthly or quarterly) to look for patterns of concern.
Final Thoughts
Data integrity is the foundation of everything you do in peptide manufacturing. Without reliable data, you cannot make safe products, pass audits, or maintain your reputation.
Invest in the right systems, train your people, and build a culture of honesty. The effort you put into data integrity today will protect your company and your patients for years to come.
Remember, data integrity is not just a regulatory requirement. It is the right thing to do.
Topics
Dr. Lisa Park
Regulatory Affairs Specialist
PharmD | 9 years in peptide pharmaceutical compliance
Focuses on FDA, DEA, and state pharmacy board regulations governing peptide compounds. Guides compounding pharmacies and peptide manufacturers through changing compliance landscapes.
Reviewed by Dr. Lisa Park, PharmD, April 2026