Driving Long-Term ELN Adoption in Biopharma R&D After Implementation
Implementing an ELN is only the beginning. In biopharma R&D, sustaining long-term adoption requires ongoing strategies that keep scientists engaged and ensure the platform evolves with their workflows. Discover key approaches to drive continued ELN usage, overcome resistance, and maximize the return on your digital lab investment.[Read More]
From Chaos to Organized: Setting Up Your Lab’s Digital System
Step-by-step guide to implementing a digital lab notebook system across your entire lab or team. Learn how to set up organizational structure, create useful templates, establish naming conventions, roll out to your team without resistance, and build sustainable documentation habits. Includes real examples from successful lab transitions.[Read More]
Bridging the Gap: Training a Multigenerational Workforce
Today's workforce spans four generations, each with unique learning styles and expectations. From Baby Boomers who thrive in structured, hands-on settings to Gen Z's demand for mobile-friendly, interactive experiences, organizations must rethink training strategies. Discover how to bridge the generational divide and build programs that engage every employee.[Read More]
Recession-proofing Your Lab With Informatics and AI
When budgets tighten, labs don't need costly system overhauls — they need smarter use of what they already have. Learn how layering AI onto existing LIMS, ELN, and SDMS platforms can eliminate manual tasks, recover thousands of labor hours, and turn dark data into actionable insights, transforming your lab from a cost center into a competitive advantage.[Read More]
Kalleid Winter 2026 Newsletter
Kalleid's Winter 2026 newsletter delivers actionable insights for life science organizations, featuring change management best practices from the Pistoia Alliance, a LabWare LIMS implementation case study, real-time data integration with Sapio webhooks, and guidance on GxP validation of AI/ML tools and AI-assisted technical writing.[Read More]
Securing the Autonomous Lab: Why AI Agents Require Different Cybersecurity
AI agents transform laboratory efficiency but create security challenges traditional lab IT wasn't designed for. Agents authenticate thousands of times daily, access multiple systems simultaneously, and operate autonomously 24/7. A compromised agent can corrupt processes, manipulate results, or extract data at machine speed. Discover why autonomous operations require different security architecture.[Read More]
Laboratory Informatics Weekly Update – Volume 24, Issue 8
February 23, 2026 Laboratory Informatics Weekly Update Volume 24, Issue 8 In This Issue Featured Books LIMS Selection Guide for ISO/IEC 17025 Laboratories Featured Content AI Agents in the Lab – Moving From Analysis to Autonomous ActionAI agents represent something fundamentally different from AI analysis tools most labs already use. An AI agent doesn't just analyze data—it takes autonomous actions across laboratory systems. It monitors instrument queues, reorders reagents, adjusts workflows, and routes results without human intervention. The difference between AI analysis and AI agents is the difference between a calculator and an autopilot.[Read More] Data Integrity Essentials: From…AI Agents in the Lab – Moving From Analysis to Autonomous Action
AI agents represent something fundamentally different from AI analysis tools most labs already use. An AI agent doesn't just analyze data—it takes autonomous actions across laboratory systems. It monitors instrument queues, reorders reagents, adjusts workflows, and routes results without human intervention. The difference between AI analysis and AI agents is the difference between a calculator and an autopilot.[Read More]
Data Integrity Essentials: From Workflows to Audits
Labs today aren't just storing data — they're expected to prove every change with an unbroken audit trail. This article breaks down how ALCOA+ principles, strategic workflow planning, and proper system configuration form the foundation of data integrity. Learn how to identify gaps, build a roadmap, and use analytics as a continuous monitor for data health.[Read More]
User Training and OCM Support for a LabWare Implementation for a Global Biopharmaceutical Company
A global biopharma company faced fragmented systems, manual data entry from external partners, and compliance risks. This case study details how a cloud-based LabWare LIMS implementation — paired with a structured change management and training program across sites in the US, Germany, and Japan — achieved 100% user adoption and ongoing improvement.[Read More]
Maintaining Data Integrity During ELN Migration
Migrating from legacy systems to a modern ELN is high-stakes — historical research data contains irreplaceable IP, regulatory evidence, and institutional knowledge. This article outlines how to design migration strategies that preserve scientific context, maintain audit trails, and meet FDA 21 CFR Part 11 and EU Annex 11 compliance requirements.[Read More]
Lab Collaboration Without Email Chaos: Sharing, Permissions, and Teamwork
Learn how to share experiments with your PI, collaborate with lab mates, and coordinate across teams without email attachment chaos. This guide covers sharing workflows, permission settings, real-time collaboration, and team coordination using digital lab notebooks. Includes practical examples for common lab scenarios and permission strategies.[Read More]
Planning an AI-Driven Lab in 2026? Build a Strong Data Foundation with Smart LIMS Software
AI is becoming essential for labs in 2026, but many remain unprepared due to fragmented, inconsistent data. The bottleneck isn't algorithms—it's data quality. Labs need structured, standardized, context-rich data. A modern cloud-based LIMS provides the critical foundation, enabling data integration, automation, traceability, and AI-readiness at scale.[Read More]
Lab best practices in 2026: Data you can trust
As regulatory pressures evolve and new technology becomes available, 2026 is the year for labs to reassess their standards and practices. From the rollout of ISO 15189:2022 and strengthening data integrity with ALCOA+ principles, to integrating ELN and LIMS workflows and building sustainability reporting into capital budgets — this article covers what high-performing labs are prioritizing now.[Read More]
Yes, You Can Do THAT With LabWare 8
Is your LabWare system just ticking over, or is it driving your lab forward?
It’s time to stop treating your LIMS like a digital ledger and start viewing it as a high-performance engine. Like tuning a sports car for a major race, upgrading to and optimizing LabWare 8 allows you to surpass benchmarks in speed, scalability, and regulatory compliance.…
Electronic Records and Signatures: Rethinking 21 CFR Part 11 in a Graph-Based World
Most LIMS platforms treat 21 CFR Part 11 compliance as a checkbox exercise—capturing change events, logging user actions, and binding electronic signatures in a relational database. But compliance isn’t just about storing data; it’s about demonstrating trust, traceability, and intent behind every record.…
Laboratory Informatics Weekly Update – Volume 24, Issue 7
February 16, 2026 Laboratory Informatics Weekly Update Volume 24, Issue 7 In This IssueFeatured BooksLIMS Selection Guide for ISO/IEC 17025 LaboratoriesFeatured ContentMaking Execution the Record: A Structural Approach to LIMS ComplianceAudit trails tell you what happened, but not why it happened. Labbit LIMS uses workflow execution itself as the system of record, capturing every step in a knowledge graph where actions are causally linked and fully contextualized. This approach provides true data provenance, defensible validation, and regulatory compliance by design.[Read More] How to Find Any Experiment in Seconds (Never Search Again)Learn how to organize and find your experiments effortlessly using search,…Making Execution the Record: A Structural Approach to LIMS Compliance
Audit trails tell you what happened, but not why it happened. Labbit LIMS uses workflow execution itself as the system of record, capturing every step in a knowledge graph where actions are causally linked and fully contextualized. This approach provides true data provenance, defensible validation, and regulatory compliance by design.[Read More]
How to Find Any Experiment in Seconds (Never Search Again)
Learn how to organize and find your experiments effortlessly using search, tags, categories, and filters in a digital lab notebook. This guide shows you exactly how to set up an organization system that makes finding any experiment—even from years ago—take seconds instead of minutes. Includes real search examples and best practices.[Read More]
Navigating the Regulatory Maze: Challenges in GxP Validation of AI and Machine Learning Tools
AI and machine learning tools in GxP environments face unique validation challenges: black-box algorithms lack transparency required for ALCOA+ compliance, models evolve dynamically while regulations demand static reproducibility, and training data quality issues threaten compliance. The FDA's risk-based approach offers guidance for lifecycle management.[Read More]
