Trusted Resource for Clinical Trials, Protocols & Progress
In modern clinical trials, most data is captured digitally using eSource (electronic source) and eCRF (electronic case report form) platforms. While these systems offer speed, automation, and real-time access, they must also comply with ALCOA+ principles to ensure data quality and regulatory acceptance.
Click to read the full article.
The original ALCOA framework—first popularized by the U.S. FDA in the 1990s—outlined five foundational principles for GxP-compliant data:
Click to read the full article.
ALCOA+ training is a critical component of any data integrity assurance framework. It ensures that all clinical research staff—from investigators and CRCs to data managers and QA auditors—understand and apply the principles of Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available data.
Click to read the full article.
In a globally outsourced trial landscape, sponsors often rely heavily on Contract Research Organizations (CROs) to manage data collection, monitoring, and documentation. However, regulators hold the sponsor ultimately accountable for ensuring that data integrity principles—particularly ALCOA+—are upheld across all trial activities.
Click to read the full article.
The ALCOA+ framework—Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available—is foundational to GxP compliance across clinical research. Whether data is collected via paper, eSource, or EDC platforms, these principles ensure that records are trustworthy, traceable, and fit for regulatory scrutiny.
Click to read the full article.
Data governance in clinical research refers to the strategic framework, policies, and controls that ensure data is managed properly across its entire lifecycle. It involves defining roles, ownership, access, protection, quality, and retention of clinical trial data in alignment with regulatory expectations.
Click to read the full article.
In clinical research, data governance depends on clearly defined roles—particularly the concepts of data ownership and data stewardship. These two functions serve as the backbone of accountability for ALCOA+ compliance and regulatory readiness.
Click to read the full article.
In today’s regulated research landscape, clinical data is a regulated asset—not just a record. From source data to statistical outputs, every dataset generated in a trial must meet the requirements of traceability, reliability, and regulatory compliance. The foundation for achieving this lies in a well-structured data governance framework.
Click to read the full article.
Data governance is only effective when all stakeholders understand their responsibilities. In clinical research, unclear ownership and poorly defined roles can lead to inconsistent data, audit trail gaps, and even critical inspection findings. Regulatory authorities including the FDA, EMA, and ICH expect organizations to implement formal governance structures, particularly with respect to ALCOA+ compliance.
Click to read the full article.
In regulated clinical research, clear policies are not optional—they are a compliance requirement. One of the most critical areas where documentation is often lacking is the definition of who owns and who stewards clinical data across its lifecycle. Without formalized policies, roles become blurred, responsibilities are misunderstood, and regulatory compliance is compromised.
Click to read the full article.
