- Creation and maintenance of Data Management Plans (DMP) and Data Validation Plans (DVP)
- Setup and update of project-specific data documentation
- Continuous data reviews throughout the clinical trial lifecycle
- Query management and data cleaning in close cooperation with sites
- Support for Medical Review and Risk Management processes
- Soft locks, database freezes, and final hard lock procedures
- Preparation of Validity Review Reports and Data Management Reports
- Secure data transfer and sponsor communication

Documented Precision, Updated with Purpose
- Data management at Alcedis begins with structured documentation: from Data Management Plans to Data Validation Plans and beyond. These are living documents, continuously updated to reflect protocol changes, site behavior, and risk assessments.
- In addition, our teams contribute to broader quality frameworks—such as Risk Management Plans and Validity Review Reports—ensuring that data flows are not only documented but strategically aligned with project goals.

Overcoming Complexity in Data Management
High-volume data, tight timelines, regulatory demands—data management must navigate it all. Here’s how we meet the challenge head-on:
- Seamless System Integration: Our in-house software ecosystem enables unified workflows between data entry, monitoring, and medical review. This ensures that processes like query generation, signature tracking, and freeze preparation are not only faster—but fully traceable.
- Efficient Query Handling: We prioritize lean, high-quality query cycles: fewer unnecessary queries, quicker turnaround, and closer alignment with sites. Query handling is embedded within our eCRF tools to maximize efficiency.
- Continuous Data Review: Instead of waiting for study close-out, we maintain ongoing review cycles—flagging issues early, validating data in real-time, and aligning with medical and risk reviewers throughout. This ensures clean, actionable datasets long before database lock.

Latest Whitepaper
Our summarization of EUCROF's propositions on leveraging remote source data verification and reviews (rSDV/rSDR) in clinical trials. Gain insights and recommendations for seamless integration, ensuring data consistency and participant privacy while reducing site burden.
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