Automated Clinical Data Transformations

Free-up Scarce Programming Resources, Reduce Costs and Accelerate Study Schedules

As clinical trial data expands to include new data sources, data transformations consume scarce programming resources and limited study budgets. MetaVate automates the conversion from any source to any target, including SDTM, ADaM and third-party data. 

60% acclerated

SDTM conversion

50% faster

ADaM conversion

65% quicker

Define.xml creation

The MetaVate universe for any data transformation needs


Any Source, Any Target

Algorics MetaVate can handle the conversion from any source to any target, whether it is from raw EDC or third-party data to SDTM, AdaM or any other required format.


Frees Up Scarce Resources

MetaVate automates standard and repetitive tasks to free up highly-skilled and hard to find SAS programming skills so that they can focus on more rewarding tasks.


Auto Mapping with Machine Learning

MetaVate suggests matches between source to target data based on pattern matching and leverages machine learning to improve matches when it is used on more studies.


Delivers Macro-Free SAS Code and Define XML

MetaVate delivers Macro-free SAS code and a complete Define-XML file with every run, ensuring that everything needed for compliance and submission is available.


A Great Solution for Double Programming

MetaVate can act as a second programmer, ensuring and validating the transformations completed by a primary resource. That eliminates the cost of double programming.


Works with your Current process

As you partner with multiple CROs, ensuring quality and delivery oversight is essential. With limited resources, having dedicated staff to do this may not always be possible.

Case Study

Leveraging MetaVate define module to expedite Define.xml creation from a week to two days per study


Download this brochure to learn how MetaVate can help you gain efficiencies in standards conversion

Why MetaVate?

▪ Maximizing resources without specialized SAS programming experience

▪ Data transparency and standardization

▪ Regulatory compliance with end-to-end support for complete traceability of execution

▪ Metadata-driven and aligned with CDISC 360 initiatives