Trusted Resource for Clinical Trials, Protocols & Progress
In clinical research, data governance is often associated with datasets, systems, and roles—but documentation is equally critical. Every protocol, SOP, CRF, and training record forms part of the trial’s evidence chain. Improper control over these documents can lead to misinterpretation, outdated procedures, or regulatory non-compliance.
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In clinical research, data doesn’t exist in isolation. Every piece of information captured during a trial—whether it’s a lab result, eCRF entry, or protocol deviation—is accompanied by background context. This context is known as metadata, and its integrity is essential for compliance with ALCOA+ principles, especially “Attributable,” “Contemporaneous,” and “Enduring.”
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In the clinical research landscape, data governance isn’t just a best practice—it’s a regulatory imperative. Governing bodies such as the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have established clear expectations around how sponsors, CROs, and sites should define, manage, and oversee clinical data systems.
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Clinical sites are the frontlines of data generation in clinical trials. Whether data is captured through paper CRFs, eSource, or EDC platforms, the quality and reliability of that data depend on site compliance with governance standards.
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The traditional model of 100% source data verification at every clinical site is no longer sustainable for modern trials. Sponsors and CROs now employ risk-based monitoring (RBM) strategies to focus resources on the most critical data, processes, and sites. However, as monitoring becomes more selective, the role of governance becomes even more vital.
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In the clinical research industry, the effectiveness of data governance is only as strong as the SOPs that support it. For sponsor organizations, having robust, documented, and enforceable standard operating procedures (SOPs) is the only way to ensure consistent, ALCOA+ compliant data management across studies, systems, and sites.
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Audit trails are the backbone of data integrity in clinical research. They provide the documented evidence of every action taken on a data element, from creation to modification to deletion. In systems like Electronic Data Capture (EDC) and Electronic Trial Master Files (eTMF), audit trails ensure compliance with ALCOA+ principles by recording who did what, when, and why.
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In recent years, both the FDA and EMA have intensified their focus on audit trail compliance during inspections. As clinical trials increasingly rely on electronic systems such as EDC, eTMF, eSource, and CTMS, the need for transparent, accurate, and tamper-proof audit trails has become non-negotiable. These records serve as the official “black box” of data events—detailing who did what, when, and why.
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Audit trails are the silent guardians of data integrity in clinical research. When properly configured, they provide immutable, timestamped logs that record every action taken on a data point or document—ensuring accountability, transparency, and traceability.
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Audit trails are one of the most scrutinized components during FDA inspections of clinical trial systems. Whether it’s an Electronic Data Capture (EDC) platform, eTMF system, or laboratory database, regulators expect complete, accurate, and immutable audit logs. When these audit trails are missing, improperly configured, or not reviewed, it often results in formal inspection findings—including 483 observations and, in serious cases, warning letters.
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