Pharma Data Integrity Software:
ALCOA+, Audit Trails & Part 11
GoVal helps validation teams apply ALCOA+ data-integrity controls through attributable records, role-based access, tamper-evident audit trails, controlled changes, and electronic-signature capabilities designed for regulated workflows.
What is data integrity in pharmaceutical manufacturing?
Data integrity in pharma means keeping GxP data complete, consistent, accurate, attributable, and available throughout its lifecycle. ALCOA+ is a widely used way to express those expectations: Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available. GoVal supports those principles with unique user identity, role-based permissions, tamper-evident audit trails, controlled record changes, structured data capture, and electronic signatures for validation workflows.
Related: Data Integrity FAQ · 21 CFR Part 11 checklist · data-integrity audit findings guide.
Why Data Integrity Gaps Draw Inspection Scrutiny
Manual records, shared credentials, incomplete audit trails, and disconnected systems can make it difficult to demonstrate who did what, when it happened, and whether the record remained complete and controlled.
Backdated & Altered Records
Paper records and uncontrolled spreadsheets allow backdating, unauthorized amendments, and data alteration — the most severe data integrity violation inspectors pursue.
Shared Credentials
Team logins and shared system passwords break the Attributable requirement — regulators cannot determine who performed each action in the validation record.
Missing Raw Data
Test results recorded without retaining original instrument output and metadata violate the Original and Complete requirements — a frequent observation in lab and manufacturing systems.
Incomplete Audit Trails
Systems that lack timestamped, user-attributed change logs for every modification cannot satisfy the Contemporaneous requirement of ALCOA+ or 21 CFR Part 11.
Build Stronger ALCOA+ Controls Into Validation Records
GoVal provides workflow and record controls designed to support data integrity. Effective use still depends on appropriate configuration, roles, procedures, training, and governance for the intended regulated process.
Unique User Authentication
Individual user authentication links actions to an identified account, supporting attributable records and reducing shared-credential and attribution risk when access is configured and governed appropriately.
Tamper-Evident Audit Trails
Every record change — who, what, when, and why — is captured in an tamper-evident, timestamped history designed to preserve who changed a record, what changed, and when.
21 CFR Part 11 E-Signatures
Role-based electronic signatures with meaning statements and unique authentication — designed to support regulated electronic-signature workflows, including identity, signature meaning, record linkage, and auditability.
Structured Data Capture
Guided, field-level data entry prevents free-text workarounds and ensures test results are recorded contemporaneously with correct metadata linkage.
Role-Based Access Control
Granular permissions ensure only authorized users can view, edit, review, or approve specific records — reducing unauthorized access and modification risk through controlled permissions.
Controlled Long-Term Archival
Controlled retention and retrieval can support the Enduring and Available aspects of ALCOA+ when retention periods, access, backup, export, and archival procedures are configured for the applicable record requirements.
Need to see how these controls behave in a real validation record?
Review the GoVal workflow with your own use case — user attribution, audit trail, approval, traceability, deviation handling, and controlled change.
Reduce Preventable Data-Integrity Risk Across Validation Workflows
Structured identity, audit-trail, access, and change controls can reduce preventable record-integrity gaps and make investigations easier to reconstruct.
Record entries, review actions, and approvals can be linked to authenticated user accounts, reducing manual attribution and supporting review of who performed regulated actions.
Connected records and change history can reduce the time spent reconstructing evidence before or during an inspection, subject to the organization's access and review procedures.
Standardized data capture and access controls can reduce site-to-site variation and make governance more consistent across multi-site validation programmes.
Data Integrity Questions
Short answers for validation, QA, IT, and compliance teams evaluating a modern VLMS platform.
What is data integrity in pharmaceutical manufacturing?
Data integrity means maintaining complete, consistent, accurate, and trustworthy data throughout its lifecycle. ALCOA+ is a widely used way to express those attributes: Attributable, Legible, Contemporaneous, Original, Accurate, plus Complete, Consistent, Enduring, and Available. Organizations should map the controls to the data-integrity requirements and guidance applicable to their processes and records.
What is ALCOA+ in pharma?
ALCOA+ is a widely used set of data-integrity principles in GxP environments. It stands for Attributable, Legible, Contemporaneous, Original, Accurate — plus Complete, Consistent, Enduring, and Available. GoVal supports these principles through structured data capture, controlled electronic signatures, permissions, and audit-trail functionality; effective use still depends on configuration, procedures, training, and governance.
What are common data integrity failures in pharma validation?
Common failures include data backdating, shared user credentials, unauthorized record amendments, incomplete audit trails, missing raw data, and manual transcription errors. GoVal's electronic workflows are designed to reduce these risks through individual identity, controlled changes, audit trails, permissions, and structured records.
How does GoVal support data integrity controls?
GoVal supports data integrity through unique user authentication, role-based access, audit-trail functionality, controlled electronic signatures, structured data capture, approvals, and controlled record retention. The implemented state should be verified against the organization's intended use, access model, procedures, training, and retention requirements.
What FDA guidance covers data integrity?
For pharmaceutical data integrity, key FDA references include 21 CFR Part 11 (electronic records and signatures) and the 2018 Data Integrity and Compliance With Drug CGMP guidance. FDA's February 2026 CSA guidance formally addresses medical-device production and quality management system software and adds a risk-based assurance model. GoVal supports the relevant controls and validation evidence for each regulated use case.