Data Quality Management and Analysis

Good data quality management in pharmacovigilance can be relied only on information gathered from the collection of individual case safety reports and other pharmacoepidemiological data. Quality management consists of quality planning, quality control, quality assurance and quality improvements. The pharmacovigilance data processing cycle starts with data collection and, in computerized systems, data entry; the next step is data storage and maintenance; followed by data selection, retrieval and manipulation.


  • Managing reference data (e.g., drug names, patient IDs)
  • Data Quality Control and Assurance
  • Quality Planning and Improvement
  • Data Safety Monitoring

Related Conference of Data Quality Management and Analysis

February 01-02, 2024

37th World Congress on Pharmacology

Dubai, UAE
February 22-23, 2024

34th Annual European Pharma Congress

Zurich, Switzerland
April 04-05, 2024

17th European Biosimilars Congress

Madrid, Spain
April 11-12, 2024

5th Annual Congress on Antibiotics and Bacterial Infections

Amsterdam, Netherlands
May 09-10, 2024

4th Global Summit on Pharmaceutical Research

Barcelona, Spain
May 16-17, 2024

18th World Drug Delivery Summit

Rome, Italy
May 30-31, 2024

9th Pharmaceutical Chemistry Conference

Paris, France
September 11-12, 2024

9th International Conference on Future Pharma and Innovations

Amsterdam, Netherlands
September 25-26, 2024

4th World Congress on Rare Diseases & Orphan Drugs

Paris, France

Data Quality Management and Analysis Conference Speakers

    Recommended Sessions

    Related Journals

    Are you interested in