Algorics Launches Metavate, Metadata-driven Automation For Clinical Data Flow And Transparency
As a leap forward, towards automating clinical data flow, Algorics has released version 2 of MetaVate, aimed at improving the efficiency of standardized outputs in regulatory submission. A robust metadata design that provides automation also provides complete transparency in the description of the data flow in publication formats, including define.xml.
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MetaVate is a fully integrated modular solution with a unique, metadata-driven data transformation engine designed to support the creation of any target data sets from any source data sets, including SDTM, ADaM and third-party data. This platform can be utilized by data-mapping specialists, increasing the efficiency of statistical programmers to focus on more complex tasks. The MetaVate architecture nicely complements the existing infrastructure investments and it agnostic to operating systems, version of statistical software and metadata repositories.
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The core functionalities of MetaVate include
- Enriched CDISC standards library
- Accelerated study startup with standards driven specifications
- Data transformation engine
- CSV compliant data transformation with submission ready outputs.
- MDR compliance
- Reduce metadata inconsistency and enhance data standards compliance
- Regulatory submissions (Define.xml)
- High quality submission package for expedited submission
- Data anonymization module
- Deidentified data to support clinical data transparency initiatives
“We believe MetaVate is futuristic and well-designed to change the way statistical programming in clinical research is performed today. It provides a structured metadata driven automation framework for adoption of enterprise-wide data standards, reusability, and implementation of automation in data standards and CRT package generation. This is the future of statistical programming that will enable biopharmaceutical and life sciences research companies to drastically improve resource efficiencies in clinical trial data analysis and reporting” said Nithiya Ananthakrishnan, Founder and CEO, Algorics.
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