Data Governance Policies

Data Governance Policies in Clinical Trials: Building Frameworks for Integrity, Security, and Compliance

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Data Governance in clinical trials refers to the system of rules, processes, and responsibilities that oversee the management of trial data. It ensures that data is trustworthy, appropriately secured, accurately recorded, and available for regulatory review. A robust data governance framework supports ALCOA+ principles, promotes operational efficiency, protects participant confidentiality, and strengthens inspection readiness.
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Data Governance Policies, Data Integrity and ALCOA+ Principles

Creating a Data Governance Framework for Trials

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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.

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Data Governance Policies, Data Integrity and ALCOA+ Principles

Roles and Responsibilities in Clinical Data Governance

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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.

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Data Governance Policies, Data Integrity and ALCOA+ Principles

Policy Templates for Data Stewardship and Ownership

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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.

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Data Governance Policies, Data Integrity and ALCOA+ Principles

Document Control as a Core Data Governance Function

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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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Data Governance Policies, Data Integrity and ALCOA+ Principles

Managing Metadata and Audit Trails in Data Systems

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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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Data Governance Policies, Data Integrity and ALCOA+ Principles

Regulatory Guidance on Data Governance (FDA/EMA)

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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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Data Governance Policies, Data Integrity and ALCOA+ Principles