Reliable analysis and consumption of data should be based on a foundation of sound data preparation, well-prepared metadata, data processing protocols, and reliable exposure of data through interfaces to end-user applications for data analysis, risk, and safety assessment.

Data integrity is ever more important with the growing use of AI/Machine Learning in data retrieval and analysis. 

The typical modern laboratory is crammed with electronic equipment of various ages and complexity, all using different software and reporting formats. 

Edelweiss Connect was at Bio-IT World in Boston (USA) in April to launch our new EdelweissData™ platform...

We are pleased to announce the new release of EdelweissData™ DataExplorer 

Johan Nyström-Persson offers his unique insider/outsider view of what the new EdelweissData™ platform offers scientific research.

Our new platform, EdelweissData™, makes data management, integration and sharing easy. Simply upload your files - in any form - directly onto our secure, cloud-based platform.

Paul Jennings, Head of Molecular and Computational Toxicology at the Vrije Universiteit Amsterdam, on research data management.

What is the best way to manage, integrate and share data coming in from many different sources? Professor Bob van de Water answers.