All Data quality articles
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Journal
Organising high quality research and development data for success
Regulatory functions have long discussed the quality of the data in regulatory information management (RIM) systems, and various data entry models have waxed and waned over the years. According to current research, there is no correlation between the data entry model and the quality of the data in RIM systems. However, this article argues that managing data in research and development (R&D) silos is the key reason for variable data quality across the R&D data value chain, and that a change in how R&D operations functions are organised could be the secret to success.
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Podcasts
RegRapPod − April 2024
Vol.21 #4: In April 2024’s RegRapPod, host Alan Booth talks to Issue Editor James McCormick about all things data.
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Editorial
Improving outcomes with data
Regulatory Rapporteur April 2024 | Volume 21 | No.4 Data, the focus topic for this month’s journal, brings together a range of articles which are underpinned by one uniting factor: our absolute dependence on it. Perhaps, ...
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Focus
How data remediation and stewardship is becoming a standard responsibility for regulatory operations professionals
Data quality is becoming increasingly critical to the success of medicinal product applications and has the potential to increase the speed and efficiency of medicines supply to patients. There is an industry move towards a data-driven regulatory enterprise, highlighted particularly through the arrival of initiatives such as identification of medicinal products (IDMP), real world evidence (RWE), digital application dataset integration (DADI), electronic product information (ePI), marketing status (IRIS), US FDA knowledge-aided assessment and structured application (KASA) and eCTD 4.0, among others.
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Focus
Data governance as a strategic imperative for regulatory compliance
Data governance is a multi-faceted arrangement that relies on data quality, data integrity, data and document management, security and safe storage. It is critically important to companies and regulators as they evaluate product quality, the manufacturing process and the reliability of study data from non-clinical and clinical research. The integrity ...