Methods & Tooling

Robust Data Life Cycle Management with openBIS at the Core

We provide a streamlined, secure, and scalable approach to data life cycle management in complex biomedical environments. At the heart of our infrastructure is openBIS, an open-source platform that ensures consistent metadata tracking, granular access control, and full traceability across experimental workflows. Our system supports deep integration between datasets—whether raw, processed, or derived—enabling reproducible research and efficient collaboration.

Core Infrastructure: All project data is managed centrally through openBIS, allowing structured storage of experimental metadata, raw files, and results. The platform supports customizable ontologies and automated data ingestion pipelines for diverse assay types.
Access & Permissions: Fine-grained, role-based access control ensures users only access data relevant to their role or project. This enables secure collaboration within and across teams while preserving data integrity and compliance.
Two-Way Dataset Linking: Our system supports flexible, bidirectional links between any two datasets—e.g., linking proteomics results to microscopy images or simulations to experimental metadata—establishing complete context and provenance for all data entities.
Auditability & Traceability: Every action, from data upload to result generation, is logged and versioned. This creates a verifiable trail of data lineage, ideal for regulated environments, reproducibility efforts, and collaborative studies.