Data Synthesis with Replica Analytics in the Aridhia DRE
As part of the partnership between Aridhia and Replica Analytics, we integrated the data synthesis solution from Replica Analytics with the Digital Research Environment (DRE) from Aridhia. The combined offering gives clients a powerful capability to rapidly provision and make data available in a responsible manner, while allowing data custodians to meet their regulatory obligations.
“Our Replica Synthesis software is a natural fit for the data governance and analytics environment in Aridhia’s DRE platform, now making it much easier to get started with data access within and across the enterprise. Our two companies together provide clients with a one-stop offering to leverage their health data today.”
“Our clients have been seeking a reliable way to create non-personal versions of their health data to share with a wide community of analysts. This partnership gives them an out-of-the-box solution to power their analytics initiatives.”
The DRE provides a platform to enable trusted sharing of health data combined with a secure machine learning data analytics environment. The Replica Synthesis solution from Replica Analytics implements a data synthesis capability for complex health datasets incorporating its highly accurate risk assessment techniques and addressing privacy concerns with the broad sharing of such sensitive information.
The Aridhia-Replica Analytics solution brings together best-of-breed capabilities under one roof, giving our clients a rapid managed service for provisioning data using the latest developments and methodologies for preserving the privacy of patients and their data. The data simulator capability simplifies creating non-personal data and sharing it within data science teams.
Within partnership of Aridhia and Replica Analytics we integrated the data synthesis solution from Replica Analytics with the Digital Research Environment (DRE) from Aridhia. The combined offering gives clients a powerful capability to rapidly provision and make data available in a responsible manner, while allowing data custodians to meet their regulatory obligations.
On the 17th of June 2021 we presented with Replica our current state of synthetic data via FAIR Data Services. We presented the FAIR principles, and explained how they can be operationalized in a data sharing platform incorporating data catalogues, secure computing environments for machine learning, collaboration among analysts, and data synthesis methods to protect privacy. A FAIR data sharing platform enables rapid and responsible access to health data for secondary analysis across the enterprise and research consortia.
About Replica Analytics
Replica Analytics develops unique technologies for generating privacy protective synthetic data that maintains the statistical properties of real data. The company enables fast and effective access to high utility data while meeting global regulatory obligations.