Advanced Data Management
for Lab Experiments
General description
Omnisol’s data management system for lab experiments is a generic, fully customizable platform for generating insights from scientific experiments.
With its dynamic ontology, automatic data acquisition from multiple measurement devices, powerful search capabilities and integration with external analysis tools, our platform can easily be customized to manage data from any kind of experiment. For high-throughput experiments, the system can automatically run millions of correlations to reveal hidden relations in the data.
The Challenge
Scientific experiments often generate large and complex data sets. These data sets need to be organized, stored, analyzed and investigated in order to provide valuable insights into the underlying science.
Lack of standards in describing scientific experiments means that the related data management requirements are as diverse as the experiments themselves. Hence, it is of no surprise that data management software for scientific experiments is sparse.
With no dedicated software for managing their experiments, researchers often resort to saving raw data generated by measurement instruments onto lab PCs, and manually documenting other aspects of the experiment, most notably analysis results, in a notebook of sorts (either paper or electronic).
Key Benefits
Organization & Automation
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Organize diverse research data, including measurements of any kind, sample preparation, setup, etc.
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Save time and prevent errors by automatic data acquisition & analysis
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Keep using your tools of choice (LabVIEW, MATLAB, Octave, Pyhton)
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Adapt easily to experiment changes
Data Safety
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Keep your data safe from loss
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Access your data safely from any computer
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Protect your intellectual property by documenting all changes of your data
Teamwork & Manageability
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Share experiment data with other team members and collaborators
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Provide managers with a high-level view of lab activities
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Ensure research continuity
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Save time preparing your research presentation
Scientific Discovery
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Handle experiments with many independent variables
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Fit your raw data to theoretical models
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Keep track of all versions of your analysis algorithms
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Compare measurements and check hypotheses
Key Features
Automatic Data Acquisition
Real-time Data Validation
Data Fusion
Conflict Resolution
Import / Export Capabilities
REST API
User Permissions
Audit Trail
Automatic Backups
Alerts
Data Sharing
Data Visualization
Dashboards
Customized Reports
Integration with MATLAB, Octave, Python