Tetra Data is the combination of the following:
- Raw or primary data collected from instruments, informatics applications in R&D, manufacturing, and QA/QC
- Enriched context tagged with metadata to provide scientific context and help with faster and easier search
- Traceable provenance stored with an audit trail that provides complete history of all changes to raw and processed data
- Harmonized content standardized to allow comparisons across data sets, easy access from informatics applications, and reuse by advanced analytics and AI/ML
Tetra Data supports the path that Life Sciences organizations follow as they incorporate and mature their scientific data process. It begins with the integration of instruments and informatics applications, adding value through data engineering, gaining insights through data science and visualizations, and ultimately applying AI/ML for impactful, data-driven decision making.
For more information, see Tetra Data Models and Custom Schemas.
Updated 9 days ago