Storage, Retrieval, and Version Control of Scientific Research Data with Lab Data Management Systems  As AI drives renewed interest in historical lab data, pharma R&D teams face new challenges around long-term storage, retrieval, and version control. A robust Lab Data Management System provides the structure to preserve data integrity, traceability, and institutional knowledge across projects, teams, and decades of research.[Read More]
ISO 17025:2025 Transition The 36-Month Clock Started  ISO/IEC 17025:2025 published on September 27, 2025, and ILAC set the transition deadline at September 30, 2028. Three years sounds generous, but a credible transition requires gap assessment, system selection, validation, migration, parallel run, retraining, and reassessment in sequence. Labs that start in month 30 will not finish in time.[Read More]
SampleManager™ LIMS Data Migration and Upgrade for a Global Chemical Company’s Canadian Operations  When a global specialty chemicals manufacturer acquired two Canadian sites, the legacy SampleManager LIMS needed a full upgrade and integration with the parent ecosystem. CSols led the migration to v21.1, switched the backend from Oracle to SQL Server, moved the platform to Azure, and delivered a new SM-IDI/SAP interface on time and within budget.[Read More]
From AI pilot to AI in practice: what it takes to make laboratory AI work at scale  The next generation of scientific discovery will be defined not by which labs adopted AI, but by which ones made it work inside the workflow. Success hinges on whether the underlying informatics platform embeds AI natively or bolts it on as a parallel process. A unified data model, not the AI model itself, is what determines practical value at scale.[Read More]
From CSV to CSA: How Change Visibility Simplifies Validation  If vendors already validate their platforms, and not every feature carries equal risk, why do labs still spend months retesting everything? The shift from Computer System Validation (CSV) to Computer Software Assurance (CSA) promises a smarter, risk-based approach, but only works when labs have the change visibility to define impact with confidence.[Read More]
Solving the Academic Research Reproducibility Crisis [White Paper]  Over 70% of scientists can't reproduce another researcher's results. The cost: $28 billion a year in wasted research. This whitepaper reveals why the crisis is fundamentally a documentation problem, what NIH and institutions are now mandating, and how an electronic lab notebook eliminates the root causes. Includes a free ELN option for academic labs.[Read More]
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