Life sciences companies are rapidly adopting the Clinical Data Interchange Standards Consortium’s (CDISC) data standards for the clinical research process, standardizing content from planning and data collection to data analysis and reporting. To effectively manage organizational standards and enable correct information exchange and interpretation (interoperability), companies are also paying attention to data about the data, or ‘metadata’. Standards and metadata used throughout the clinical development life cycle are being managed in a centralized repository to facilitate their automated reuse.
Successfully harness disparate data sources and software applications for intelligent application of data! Improve productivity, decision-making, and research efficiency by:
- adopting CDISC standards management (from protocol design to regulatory submission)
- enabling trial optimization resulting in faster outcomes
- providing automated and consistent mapping with data lineage