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Sample Management

The Sample Management module is a fully integrated solution for enterprise-level inventory and workflow management, specifically designed for complex biopharma R&D. It centralizes sample tracking, inventory control, and process automation on a single platform. From cell banks and plasmids to proteins and complex mixtures, the system delivers complete lifecycle visibility — supporting data integrity, scalability, regulatory compliance, and faster, data-informed decision-making in discovery and development.

Comprehensive Sample Management for Biopharma R&D

Biopharma R&D relies on a wide range of sample types — plasmids, cell lines, proteins, aliquoted reagents, and complex mixtures — often managed across fragmented systems. The Genedata Sample Management module consolidates these into a single source of truth, with unified records, standardized metadata, automated storage, and full version history. 

Fully integrated within Genedata Biologics, the Sample Management module connects samples with analytics, assay results, and QC data. It eliminates inventory silos and enables seamless lifecycle management, from registration through testing and analysis. This platform-wide approach drives reproducibility, ensures audit-readiness, and streamlines R&D operations.

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Key Features of the Genedata Sample Management Module

Gain instant visibility into the status, batch history, and metadata of every sample in your repository. Direct integration with the Genedata Bioregistration Engine links all samples to analytics and assay data, enabling end-to-end lifecycle tracking — who did what, when, and where. Full version history, audit-ready change logs, and metadata dashboards keep teams aligned and ensure data integrity across R&D workflows.

Manual inventory slows progress. The Genedata Sample Management module automates requests, distribution, restocking, disposal, and other inventory updates. Spatial freezer mapping, real-time occupancy dashboards, and alerts help prevent duplicate requests, missing samples, and overstocking. Integrated barcode printing and scanning streamline sample identification and labeling, while automated ordering workflows reduce turnaround times and minimize errors. Powerful web services and APIs enable seamless integration with enterprise IT ecosystems.

Configure workflows once — and use them everywhere. Whether for sample processing, QC, shipping, or cross-site transfers, the module enables consistent execution across teams and locations. Shared access with granular permissions, real-time notifications, and direct links between samples and experiment data ensure that all stakeholders stay informed. Advanced search tools help scientists instantly locate relevant samples and their storage locations. Standardized processes accelerate throughput, reduce risk, and keep cross-functional teams aligned.

Built to meet regulatory standards, the Sample Management module — combined with Genedata Biologics — offers a complete audit trail, role-based access control, and support for 21 CFR Part 11 compliance. Data is encrypted and validated, with tightly controlled user access. The system scales effortlessly across labs, sites, and geographies while maintaining performance and security. Deploy on-premises or in the cloud as Software-as-a-Service (SaaS). Start with a single lab and expand to enterprise-wide coverage — no need for separate tools.

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What is Sample Management? 

Sample management software helps biopharma companies organize, track, and manage biological samples throughout their lifecycle — from registration and storage to usage and disposal. It ensures accurate inventory, consistent metadata, traceability, and regulatory compliance.

What is a sample tracker?

Sample management software helps biopharma companies organize, track, and manage biological samples throughout their lifecycle — from registration and storage to usage and disposal. It ensures accurate inventory, consistent metadata, traceability, and regulatory compliance.

What is sample management?

Sample management encompasses all processes involved in handling biological samples: registration, metadata cataloging, storage under defined conditions (e.g., temperature, GxP), usage tracking, transfers, QC, audit reporting, and disposal. Effective sample management ensures data integrity, reproducibility, and compliance.