Challenges in Maintaining Data Integrity
Data integrity refers to the accuracy, consistency, and reliability of clinical data throughout its lifecycle. For data managers in clinical research, maintaining data integrity is not just a best practice but a regulatory imperative. Governing bodies such as the FDA, EMA, and ICH emphasize the principles of ALCOA — data must be Attributable, Legible, Contemporaneous, Original, and Accurate. In a landscape where decentralized trials, remote monitoring, and eSource data collection are becoming the norm, data managers face growing challenges in maintaining this integrity across diverse systems, teams, and trial phases.
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