GenAI-powered Data Onboarding Portal to enable FAIR data practices

Successful drug discovery demands timely, high-quality, and scalable management of R&D data, yet the tools and processes used for this purpose are often inefficient, error-prone, and reliant on manual work. To address these challenges, ZS has developed the GenAI-powered Data Onboarding Portal, a collaborative solution to simplify data specifications management, accelerate vendor onboarding, and automate data quality frameworks for scientists, data stewards and external data vendors.

Key capabilities of the portal include:

·       Generative AI-based intelligent recommendations for data specifications, utilizing historical information from a wide range of lab tests and vendors.

·       An intelligent data quality framework that generates code based on approved data specifications and applies it on source data.

·       An interactive user interface that facilitates collaboration on data specifications and data quality among study teams, data stewards, and vendors.

This application will also include additional features such as a request collaboration tool, vendor scorecards, and assay knowledge graphs, further enhancing its utility.

The portal is already enabling significant improvements to the data onboarding process for sponsors across diverse data domains (biomarkers, biospecimens, wearables data, etc.) - reduced onboarding coordination time by 70%, accelerated data quality check creation and execution from 2 weeks to 1 day and increased the number of data quality checks 20-fold.

As data volumes grow and scientific needs evolve, ZS’s Data Onboarding Portal is poised to enable the creation of an integrated data management platform, empowering scientists, data vendors and IT partners to produce FAIR data products and transform R&D outcomes.