Accelrys makes big claims for the new Experiment Knowledge Base. We look into who in the analytical sciences world might be interested, and what value might be derived from it.
Rich Whitworth |
R&D can be an uphill struggle when scientific data is produced at a greater rate than useful knowledge can be derived from it. According to Accelrys, they have a solution: a new laboratory informatics system called Experiment Knowledge Base (EKB). According to the promotional literature, EKB “raises the bar for experimentation management and enables organizations to transform mass amounts of scientific data into knowledge essential for faster, more efficient new product innovation” by providing six key capabilities:
- Experiment and campaign planning and design
- R&D workflow management
- Tracking of samples, resources, and procedures
- Analysis and visualization of experimental results
- Scientific data mining and knowledge extraction
- Integration with existing equipment and systems
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