Data Integrity Is the Foundation of Regulated Environments
In the pharmaceutical industry and cleanroom environments, the integrity of measurement data is the highest asset. Regulatory authorities worldwide expect electronic data to be complete, traceable, unaltered, and available at all times. Weaknesses in data integrity are among the most common reasons for observations during inspections – and can have far-reaching consequences.
What Does Data Integrity Mean in Practice?
Data integrity describes the completeness, consistency, and accuracy of data throughout its entire lifecycle. The international standard is ALCOA++: data must be Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, Available, and Traceable. These principles form the backbone of any GMP-compliant data processing.
Cryptographic Signatures: Tamper Protection at the Highest Level
Moqlero secures every report through cryptographic signatures based on RSA encryption and x.509 certificates (PKI). During approval, a hash value of the document is encrypted with the report server's private key. Any subsequent modification would invalidate the signature. This creates an incorruptible chain of documentation that withstands any inspection.
Seamless Audit Trail
Every relevant action within Moqlero is fully logged with timestamps and stored in an audit-proof manner – from configuration changes and limit value adjustments to approvals and user actions. Deviations and unauthorized interventions are clearly identifiable and technically evaluable. The audit trail can be exported at any time as CSV or as a signed PDF report.
Not an Add-on, but a Core Principle
Many systems attempt to achieve data integrity retroactively through add-on modules or patches. Moqlero takes a different approach: data integrity has been a central design principle from the very first line of code. Every measurement value is cryptographically secured immediately upon acquisition, every process step is seamlessly documented.
Moqlero is a system where data integrity is not a configuration option, but a given!