Preparing Submission-Ready Data from Day One

This whitepaper explores where submission-readiness risks can arise across the clinical data lifecycle and how early decisions around protocol and CRF design, data standards, statistical planning, programming and governance can affect the quality and defensibility of a regulatory submission.

This Whitepaper will provide you with:

• Understanding of where submission-readiness risk arises - from study design and data collection to standards, programming, governance and submission preparation.
• Knowledge of what makes data submission-ready - including the importance of data quality, completeness, consistency, fitness for purpose and traceability.
• A clear distinction between data quality and data integrity - and why both are essential for reliable, defensible regulatory evidence.
• Insights into why data standards should be planned early - including how SDTM, ADaM and Define-XML decisions can influence upstream data architecture and reduce late-stage rework.
• Practical guidance for aligning statistical analysis with data collection - helping ensure that endpoints, estimands, analysis requirements and programming can be supported by the data collected.
• Key considerations for database lock and sponsor oversight - including governance, CRO management, quality control, automation and the controls needed to maintain submission readiness throughout the study.