Management and Retention of Clinical Trial Data: Archiving and Confidentiality

Written by
Khalil Ben Yahia
Published on
October 1, 2025

Data management and retention are central components of any effective and compliant clinical trial. As medical research intensifies and medical devices become increasingly complex, clinical trial sponsors face a dual challenge: ensuring the scientific integrity of collected data while guaranteeing optimal protection. Clinical data requires a structured approach that respects both scientific standards and regulatory frameworks such as the GDPR. Good data management not only optimizes statistical analysis of results but also strengthens the security of information related to trial participants.

Best Practices for Clinical Data Management

The quality of a clinical trial largely depends on the reliability of its data. To ensure this, several essential practices must be implemented:

  • Standardization of processes: Establishing a clear protocol for data collection and processing ensures consistency and facilitates subsequent analysis.

  • Systematic quality control must occur at every stage of data management. This involves regular checks to detect and correct inconsistencies or missing data.

  • Traceability is also essential. Every modification made to the data must be documented, dated, and signed to guarantee research integrity.

  • Securing systems, anonymizing personal information, and implementing strictly controlled access rights are now indispensable to protect sensitive participant data.

In addition, the digitalization of clinical trials has revolutionized data management. EDC systems (Electronic Data Capture) enable structured and secure data collection. Using an eCRF/EDC platform is a major asset for clinical data security, offering strict access control, complete audit trails, and built-in regulatory compliance. eClinical platforms provide a global view of the trial and simplify data monitoring.

Automated consistency checks and alert systems significantly improve the quality of clinical data. These technologies help reduce errors and accelerate statistical analysis.

Regulatory Requirements: GDPR and EMA Guidelines

Regulatory compliance is a key aspect of clinical trial data management. The General Data Protection Regulation (GDPR) imposes strict obligations on the processing of personal data in health research.

In France, the CNIL plays a leading role in monitoring compliance with these regulations. It defines the conditions for collecting participant consent and the modalities for data protection.

The European Medicines Agency (EMA) complements this regulatory framework by specifying the expected standards for clinical data documentation and retention.

To comply with regulatory requirements for data management, it is essential to:

  • Appoint a Data Protection Officer (DPO)

  • Carry out Data Protection Impact Assessments (DPIA)

  • Implement appropriate technical and organizational measures

For more information, consult the official CNIL documents: https://www.cnil.fr/fr/RGPD-analyse-impact-protection-des-donnees-aipd

Roles and Responsibilities in Data Management

Effective management of clinical trial data depends on a clear allocation of responsibilities:

  • The sponsor holds overall responsibility for the trial and must ensure that data management systems comply with regulatory requirements.

  • Data managers oversee data collection, cleaning, and validation throughout the clinical trial.

  • Clinical monitors supervise data monitoring and ensure consistency between source documents and entered data.

Retention Period for Clinical Trial Data

The archiving of essential clinical trial documents must be carried out under optimal security conditions. Documents must be stored in restricted-access environments protected against both physical and IT risks. This rigorous retention ensures compliance with audit and health authority inspection requirements.

Retention Periods for Clinical Trial Data
Type of Research Data Concerned Active Database Retention Archiving Duration
Research involving human subjects (RIPH) Participant data Up to 2 years after the last publication or final report signature Archiving in compliance with applicable regulations
Interventional research Professional data Up to 15 years after the end of the last study According to applicable regulations
Non-interventional research Participant data Up to 2 years after the last publication or final report signature Maximum 20 years
Research on previously collected data Participant data Up to 2 years after the last publication or final report signature Maximum 20 years
Studies requiring access to PMSI data Data on secure platform Duration required for the study + up to 2 years after the last publication Not exportable outside the platform
Signed consents Original documents Retention in active database 30 years

Note: These retention periods comply with CNIL reference methodologies (MR-001, MR-003, MR-004). For studies not covered by these methodologies, the duration defined by the data controller will be reviewed by the CNIL during the authorization request process.

Let's Shape the Future of Clinical Trial Together!

Khalil Ben Yahia
Clinical Trials Expert

With over 10 years of experience working in CROs, Khalil brings deep expertise in clinical trials and a clear understanding of the daily challenges faced by research professionals. His insights are grounded in real-world operations, making his perspective both practical and strategic.