Paradigm shift in scientific data management and analysis
Explore our video series to see how the Tetra Scientific Data and AI Cloud elevates your scientific data management beyond any traditional SDMS.
Free your data from SDMS
The Tetra Scientific Data and AI Cloud frees your data from the limitations of a scientific data management system (SDMS). While providing essential functionalities—such as integration, cloud-based data storage, archive, restore, and access control—it automatically contextualizes and harmonizes your data as an onramp to analytics, ML, and AI.
Introduction
Paradigm Shift in Scientific Data Management and Analysis
See the eight trends redefining scientific data management in biopharma.
Collecting Data
Collecting Data: Files
Collect datasets from scientific instruments and centralize them in the cloud.
Collecting Data: Applications
Collect data from applications, including CDSs, ELNs, LIMSs, and robotics systems.
Collecting Data: Version and Lineage
Track and manage data versioning and lineage—including upload details, transformations, and history—enabling precise monitoring of your data’s journey and lifecycle.
Data Search for Admins
Contextualization with Metadata
Contextualize data using experimental metadata to make it findable and accessible.
Searching for Data
Easily find data via the Tetra Data Platform user interface, SQL queries, or the API.
Data Access Management
Ensure the right users have access to critical data with robust control mechanisms.
Data Search for Scientists
Scientific User Experience: Search Page
Navigate data hierarchy, use advanced filters, and perform bulk operations.
Scientific User Experience: Saved Searches
Store and share search criteria for reuse.
Scientific User Experience: Projects
Quickly organize and access data from specific labs, experiments, instruments, or projects.