Case Study: Supporting The Jackson Laboratory’s Need to Increase Connectivity and Communication Across Research Groups via a Centralized Data Solution That Follows FAIR Data Principles

The Jackson Laboratory (JAX), a global leader in biomedical and genomics research, needed a centralized digital platform to make its research data FAIR (Findable, Accessible, Interoperable, Reusable) and to improve connectivity across diverse scientific disciplines. With data generated across multiple labs and research groups, JAX faced challenges including siloed data, manual Excel-based tracking, outdated applications, and limited visibility into experiments and samples at scale.

JAX selected L7|ESP as its central data solution. L7|ESP collects, tracks, and manages all experiment, sample, instrument, and process data across the organization within a single system, implementing FAIR data principles while reducing dependency on non-integrated legacy tools. The digital unified platform automates sample tracking, integrates with BarTender for barcode and label workflows, eliminates manual data entry, supports proteomics workflows, and enables global search across all historical and current projects.

By consolidating research data and minimizing application sprawl, JAX achieved significant efficiency gains, reducing process time by 80 percent compared to legacy manual methods, while improving communication, transparency, inventory management, and experiment reproducibility across research teams.

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